mcpbeat Sign in

DatasheetVend MCP Server

by felixnovanexus Your server? Claim it
not responding

DatasheetVend is listed as active in the registry but did not answer our last check. It exposes 24 tools.

Turn datasheets into source-backed JSON contracts, pinout matrices, and KiCad CAD for AI agents.

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 14 days of history · worst day 0%
14 days agonow
0.0%
Uptime 24h
0 of 92 checks
24
Tools
read from the server
80 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 23

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 28 October 2026. No other catalogue keeps this.

28 Oct 23 tools appeared datasheetvend_build_component_twin, datasheetvend_decode_part_number, datasheetvend_extract_absolute_max and 20 more

DatasheetVend does not always answer

Over the last week it answered 0.0% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

run in your terminal
claude mcp add datasheet-vend --transport http https://datasheetvend.com/api/mcp
Settings → Connectors → Add custom connector, then paste this address
https://datasheetvend.com/api/mcp
~/.codex/config.toml
[mcp_servers.datasheet-vend]
url = "https://datasheetvend.com/api/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "datasheet-vend": {
      "url": "https://datasheetvend.com/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "datasheet-vend": {
      "type": "http",
      "url": "https://datasheetvend.com/api/mcp"
    }
  }
}

Available tools 24

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

datasheetvend
datasheetvend_build_component_twin
Extract a datasheet with DatasheetVend Fast Extraction and return its Unified Component Model (UCM) digital twin in one call. Fast Extraction runs once for every requested module, and the modules' facts combine into one twin, filed where they belong: pins, whole_part (temperatures, absolute limits, package, ordering code), interfaces_rails, registers and checks — every fact with a check ('passed', 'needs_review', 'disagrees', 'failed_sanity_check') and, where recorded, its datasheet page. Returns the same ucm_twin_v1 view as datasheetvend_get_component_twin, with every section unless you ask for sections, one pin or a search, plus an `extraction` block: the engine, `rescued_features` (modules Fast Extraction could not complete at turbo speed that the standard deep engine extracted instead, slower for just those modules -- still billed and still in the twin), the modules NEITHER engine could extract (no credits charged for those), the credits charged and stored=false. Treat facts that did not pass as unverified and cite their page. The twin is NOT saved to your account: datasheetvend_get_component_twin and the dashboard will not find it, and calling again extracts and bills again. Needs a DatasheetVend API key. Costs the requested modules' credits: pinout (1 credit), absolute_max (2 credits), pin_cautions (2 credits), logic_levels (2 credits), thermal (2 credits), timing (2 credits), register_map (3 credits), peripheral_matrix (2 credits), power_battery (1 credit), part_decoder (2 credits), cad_normalized (1 credit, extracted as footprint); all of them 20 credits.
datasheetvend_decode_part_number
Decode the ordering nomenclature: per-position suffix meanings (temp grade, package, speed, packaging) and, where the datasheet's ordering information supports it, the enumerated orderable_part_numbers list — the direct answer to 'which/how many orderable part numbers'. Codes the document's ordering legend lists that the decode lacks come back as deterministic_harvest_only_rules, each with its source page: text-layer evidence to check, not decoded rules. Runs DatasheetVend Fast Extraction: a page scout routes targeted model reads and the module's own deterministic readers, then the same normalization and completion checks as a dashboard job finish the result, usually in seconds; `engine` names the engine on every result. If Fast Extraction cannot complete the module, the slower deep engine re-runs that module alone (engine.runtime is then `monolith_rescue`; the result says so, and it is billed as delivered). A rescue can take several minutes, so set a client timeout of 10 minutes. Only if the deep engine also cannot deliver does the module return status FAILED with the reason.
datasheetvend_extract_absolute_max
Extract the Absolute Maximum Ratings: never-exceed supply/pin voltages, max currents, and storage temperatures. Use extract_logic_levels for the OPERATING supply range, not these stress limits. Runs DatasheetVend Fast Extraction: a page scout routes targeted model reads and the module's own deterministic readers, then the same normalization and completion checks as a dashboard job finish the result, usually in seconds; `engine` names the engine on every result. If Fast Extraction cannot complete the module, the slower deep engine re-runs that module alone (engine.runtime is then `monolith_rescue`; the result says so, and it is billed as delivered). A rescue can take several minutes, so set a client timeout of 10 minutes. Only if the deep engine also cannot deliver does the module return status FAILED with the reason.
datasheetvend_extract_altium_bundle
Parse an Altium Designer ASCII footprint export (a text file — NOT a binary .PcbLib/.SchLib) and extract the footprint name, per-pad copper geometry (designator, name, coordinates, size, shape), layer map, and this module's own review/audit verdict. This reads an EXISTING Altium file; it does not build one from a datasheet PDF (for that, see the Altium Assist output pack on a completed extraction job). No model call — deterministic parsing only.
datasheetvend_extract_analog_specs
Extract analog conversion and signal-conditioning specs: ADC/DAC resolution, sampling rates (MSPS/kSPS), channel counts, input-voltage ranges, static non-linearity (INL/DNL), dynamic specs (ENOB, SINAD, SNR, SFDR, THD), operational amplifiers (GBW, slew rate, rail-to-rail, CMRR/PSRR), internal voltage references (nominal voltage, tempco ppm/°C), and operating supply/temp envelopes, plus comparator propagation delay and hysteresis. Runs DatasheetVend Fast Extraction: a page scout routes targeted model reads and the module's own deterministic readers, then the same normalization and completion checks as a dashboard job finish the result, usually in seconds; `engine` names the engine on every result. If Fast Extraction cannot complete the module, the slower deep engine re-runs that module alone (engine.runtime is then `monolith_rescue`; the result says so, and it is billed as delivered). A rescue can take several minutes, so set a client timeout of 10 minutes. Only if the deep engine also cannot deliver does the module return status FAILED with the reason.
datasheetvend_extract_document_map
Build the Document Map of a datasheet PDF: a deterministic, machine-readable index of WHERE the topics live (pinout, package, mechanical, electrical, timing, thermal, absolute_max, registers, cautions …) and WHAT each page physically looks like (table / prose / vector_drawing / raster_image / blank / honest unknown), including a per-page geometry census (vector paths, ruling lines, raster coverage). No LLM is involved — the same document yields the same map, cached by SHA-256, so repeat calls are served from the cache. USE IT FIRST, before reading any page of a datasheet: read the candidate pages it recommends and pick your tool per page from anatomy.dominant_form. The result is wrapped as { contractVersion, documentRef, review, map }; inside `map` it names `map.document.total_pages` (the physical page count) and, per topic, `map.module_targets[].primary_pages` — so it answers 'how many pages' and points to the pages likely to hold the absolute-max ratings / pinout / package drawing (a primary page can miss, so read the candidates and check the warnings). Do NOT use it to get pin names, dimensions, or ratings — it contains no extracted values (use datasheetvend_extract_pinout for pins). Page numbers are physical 1-based PDF pages, not printed labels. Check review.required and the warnings before trusting a degraded map.
datasheetvend_extract_kicad_bundle
Generate a KiCad footprint (.kicad_mod) and schematic symbol (.kicad_sym) from a datasheet in one call. Both files are loaded with kicad-cli where it is installed (a file-format check, not a DRC/ERC) and passed through the same deterministic copper, courtyard, pin-1 and pad-placement checks the dashboard uses. bundle_status "completed" means both files were independently proven against this document; "needs_review" means a file was produced (possibly from the KiCad library or JEDEC/IPC-7351B math instead of this document — see footprint_provenance/symbol_provenance) without that proof; "cannot_extract" means nothing usable was produced, and the credits for this call are refunded automatically (status FAILED).
datasheetvend_extract_kicad_footprint
Write a KiCad PCB footprint (.kicad_mod) from a datasheet's package mechanical drawing: pad geometry, pitch, thermal tabs and courtyard, using the datasheet's own recommended land pattern when it prints one, otherwise simplified IPC-7351B fillet math. Emitted files are loaded with kicad-cli (sym/fp upgrade) where it is installed, which is a file-format check, not a DRC or ERC. Only bundle_status "completed" (with final_readiness.physical_truth_approved true) means the placement was independently proven against this document; "needs_review" covers everything else that still produced a file, including one built from the KiCad library or JEDEC/IPC-7351B math instead of this document (see footprint_provenance).
datasheetvend_extract_kicad_symbol
Write a KiCad schematic symbol library (.kicad_sym) with logical pin groupings (Power, Ground, Reset, Clocks, GPIO, Analog, Bus interfaces) from a datasheet's pinout. Symbol layout is generated from the pin functions the pinout module resolved; there is no IEEE/IEC symbol-drawing standard applied. The emitted file is loaded with kicad-cli (sym upgrade) where it is installed, a file-format check, not a DRC or ERC.
datasheetvend_extract_logic_levels
Extract DC electrical characteristics: VIH/VIL/VOH/VOL thresholds, Schmitt hysteresis, AND the VCC/VDD operating supply voltage range. Use this for supply-range questions; extract_absolute_max gives never-exceed limits. Runs DatasheetVend Fast Extraction: a page scout routes targeted model reads and the module's own deterministic readers, then the same normalization and completion checks as a dashboard job finish the result, usually in seconds; `engine` names the engine on every result. If Fast Extraction cannot complete the module, the slower deep engine re-runs that module alone (engine.runtime is then `monolith_rescue`; the result says so, and it is billed as delivered). A rescue can take several minutes, so set a client timeout of 10 minutes. Only if the deep engine also cannot deliver does the module return status FAILED with the reason.
datasheetvend_extract_package_dimensions
Extract mechanical package outline dimensions (D, E, A, A1, e, L, b) and a nominal land geometry estimate in the spirit of IPC-7351B (review-level, not a manufacturer land pattern). For the package variant/pin count from the pin table, prefer extract_pinout. Runs DatasheetVend Fast Extraction: a page scout routes targeted model reads and the module's own deterministic readers, then the same normalization and completion checks as a dashboard job finish the result, usually in seconds; `engine` names the engine on every result. If Fast Extraction cannot complete the module, the slower deep engine re-runs that module alone (engine.runtime is then `monolith_rescue`; the result says so, and it is billed as delivered). A rescue can take several minutes, so set a client timeout of 10 minutes. Only if the deep engine also cannot deliver does the module return status FAILED with the reason.
datasheetvend_extract_passive_bom
Extract the recommended passive support components: decoupling/bypass capacitors, crystal load caps, and pull-up/down resistors, with their values and the pins they connect to. Runs DatasheetVend Fast Extraction: a page scout routes targeted model reads and the module's own deterministic readers, then the same normalization and completion checks as a dashboard job finish the result, usually in seconds; `engine` names the engine on every result. If Fast Extraction cannot complete the module, the slower deep engine re-runs that module alone (engine.runtime is then `monolith_rescue`; the result says so, and it is billed as delivered). A rescue can take several minutes, so set a client timeout of 10 minutes. Only if the deep engine also cannot deliver does the module return status FAILED with the reason.
datasheetvend_extract_peripheral_matrix
Extract the on-chip peripheral inventory, one row per instance, in 13 classes: serial/communication (UART/USART, SPI, I2C, CAN, USB, Ethernet, SDIO, I2S/SAI), analog blocks (ADC, DAC, comparator, op-amp, voltage reference, temperature sensor), timers and watchdogs, DMA, security/math accelerators (crypto, RNG, CRC), external memory interfaces (FMC/FSMC/EMC, memory-mapped QSPI), display/camera/touch, interrupt controllers, GPIO, clock/reset, low-power modes, debug/trace and device identity. Each row carries the datasheet page it was read from, where one was recorded. For ADC/DAC/comparator electrical specs (resolution, sampling rate, INL/DNL, propagation delay) use datasheetvend_extract_analog_specs. For per-mode current draw, wakeup timing, and reset/brown-out threshold voltages use datasheetvend_extract_power_domains. Runs DatasheetVend Fast Extraction: a page scout routes targeted model reads and the module's own deterministic readers, then the same normalization and completion checks as a dashboard job finish the result, usually in seconds; `engine` names the engine on every result. If Fast Extraction cannot complete the module, the slower deep engine re-runs that module alone (engine.runtime is then `monolith_rescue`; the result says so, and it is billed as delivered). A rescue can take several minutes, so set a client timeout of 10 minutes. Only if the deep engine also cannot deliver does the module return status FAILED with the reason.
datasheetvend_extract_pin_cautions
Extract hardware design cautions: bootstrap/mode-strapping requirements, 5V-tolerant vs 3.3V-only pin boundaries, reset/debug pin precautions (NRST filtering, SWD pull-ups), oscillator/crystal PCB guardrails, analog/power-domain isolation (VDDA/VBAT), and unconnected/reserved-pin handling. Each caution row includes source_page, source_text_snippet, and verified source_evidence bounding box coordinates ([x0, y0, x1, y1] in PDF points and normalized 0..1000 space) for visual inspector auditability. Runs DatasheetVend Fast Extraction: a page scout routes targeted model reads and the module's own deterministic readers, then the same normalization and completion checks as a dashboard job finish the result, usually in seconds; `engine` names the engine on every result. If Fast Extraction cannot complete the module, the slower deep engine re-runs that module alone (engine.runtime is then `monolith_rescue`; the result says so, and it is billed as delivered). A rescue can take several minutes, so set a client timeout of 10 minutes. Only if the deep engine also cannot deliver does the module return status FAILED with the reason.
datasheetvend_extract_pinout
Extract a component's pin/pad table from a datasheet PDF as verifiable, provenance-tracked evidence — not raw PDF text to re-interpret. Returns a PinoutEvidence document (contract pinout_evidence_v1): the canonical pins and special pads with names/types/functions. It also RESOLVES THE PACKAGE from the terminals — `package.family`, `package.variant` (e.g. SOT-223, TQFP-32) and `package.pin_count` — so use this tool to answer package-variant and pin-count questions, not extract_package_dimensions (mechanical geometry) or decode_part_number (ordering codes). A review-state flags when the result must be human-checked (e.g. no pins recovered, or the module raised warnings). Prefer this over reading the PDF yourself; trust `review.required` before acting. Runs DatasheetVend Fast Extraction: a page scout routes targeted reads of the pin tables, cross-checked against the package drawing where the document prints one, usually in seconds; `engine` names the engine on every result. If Fast Extraction cannot extract the pinout, the slower deep engine re-runs pinout alone (engine.runtime is then `monolith_rescue`; a rescue can take several minutes, so set a client timeout of 10 minutes). Only if that also fails does it come back as an error with the reason.
datasheetvend_extract_power_domains
Extract power supply domains (VDD/VDDA/VBAT), low-power/sleep modes and their consumption, and battery-backup configuration. Runs DatasheetVend Fast Extraction: a page scout routes targeted model reads and the module's own deterministic readers, then the same normalization and completion checks as a dashboard job finish the result, usually in seconds; `engine` names the engine on every result. If Fast Extraction cannot complete the module, the slower deep engine re-runs that module alone (engine.runtime is then `monolith_rescue`; the result says so, and it is billed as delivered). A rescue can take several minutes, so set a client timeout of 10 minutes. Only if the deep engine also cannot deliver does the module return status FAILED with the reason.
datasheetvend_extract_register_map
Extract the register map: memory addresses, reset values, access permissions (RO/RW/W1C), and per-bit field definitions. Runs DatasheetVend Fast Extraction: a page scout routes targeted model reads and the module's own deterministic readers, then the same normalization and completion checks as a dashboard job finish the result, usually in seconds; `engine` names the engine on every result. If Fast Extraction cannot complete the module, the slower deep engine re-runs that module alone (engine.runtime is then `monolith_rescue`; the result says so, and it is billed as delivered). A rescue can take several minutes, so set a client timeout of 10 minutes. Only if the deep engine also cannot deliver does the module return status FAILED with the reason.
datasheetvend_extract_thermal_limits
Extract thermal characteristics: junction-to-ambient (θJA) and junction-to-case (θJC) thermal resistance, power dissipation limits, and operating/junction/storage temperature ranges — with the datasheet page where one was recorded. Runs DatasheetVend Fast Extraction: a page scout routes targeted model reads and the module's own deterministic readers, then the same normalization and completion checks as a dashboard job finish the result, usually in seconds; `engine` names the engine on every result. If Fast Extraction cannot complete the module, the slower deep engine re-runs that module alone (engine.runtime is then `monolith_rescue`; the result says so, and it is billed as delivered). A rescue can take several minutes, so set a client timeout of 10 minutes. Only if the deep engine also cannot deliver does the module return status FAILED with the reason.
datasheetvend_extract_timing_characteristics
Extract AC timing: setup/hold (tSU, tH), propagation delays, maximum clock frequencies (fMAX), rise/fall times, and bus timing. Runs DatasheetVend Fast Extraction: a page scout routes targeted model reads and the module's own deterministic readers, then the same normalization and completion checks as a dashboard job finish the result, usually in seconds; `engine` names the engine on every result. If Fast Extraction cannot complete the module, the slower deep engine re-runs that module alone (engine.runtime is then `monolith_rescue`; the result says so, and it is billed as delivered). A rescue can take several minutes, so set a client timeout of 10 minutes. Only if the deep engine also cannot deliver does the module return status FAILED with the reason.
datasheetvend_get_component_twin
Read the Unified Component Model (UCM) digital twin of one datasheet already extracted with DatasheetVend. Every fact comes with a check ('passed', 'needs_review', 'disagrees', 'failed_sanity_check') and, where the extraction recorded one, its datasheet page, filed where it belongs: pins, whole_part (temperatures, absolute limits, package, ordering code), interfaces_rails (I2C/SPI/clock/ADC requirements and supply-rail values), registers (the register map) and checks. Call it first with no options for the summary, then ask for `sections`, one `pin` (by number, name or alternate function) or a `search` term so the answer stays small. Treat facts that did not pass as unverified and cite their page. Reads stored results only: never extracts, never bills. Needs a DatasheetVend API key; find datasheet names with datasheetvend_list_component_twins. To twin a datasheet the account has not extracted, use datasheetvend_build_component_twin.
datasheetvend_inspect_document_page
Tier-2 detail for ONE page of an already-mapped datasheet: the full measured anatomy (text metrics, MuPDF geometry census, structural geometry signals), the page's own headings and first lines, and which modules claim the page. Use it AFTER datasheetvend_extract_document_map, when the Tier-1 index says a page matters and its one-line summary is not enough. Pass the document.sha256 from the map (served free from cache). Set include_physical=true ONLY when you truly need the raw positioned tokens/vector paths — that payload can weigh hundreds of KB for one dense page. Read-only; never rebuilds, never bills.
datasheetvend_list_component_twins
List the datasheets in your DatasheetVend account that have a Unified Component Model (UCM) digital twin: the facts DatasheetVend already extracted from each datasheet — pins, supply rails, interfaces, registers and whole-part limits — combined across the extraction runs stored for it. Returns each datasheet's exact name, the modules its twin draws on, how many runs it has and when it was last run. Reads stored results only: never extracts, never bills. Needs a DatasheetVend API key. Pass a returned name to datasheetvend_get_component_twin. To twin a datasheet the account has not extracted, use datasheetvend_build_component_twin.
datasheetvend_list_hardware_modules
List all available hardware extraction modules supported by DatasheetVend (KiCad footprints/symbols, Universal Pinout, Thermal Limits, Absolute Maximum Ratings, Timing Characteristics, Logic Levels, Register Maps, Decoupling Passive BOM, Part Number Decoders, etc.).
datasheetvend_read_document_map_instructions
Return the versioned usage instructions for Document Map consumers: the binding rule (SHA-256 + physical pages), field semantics, the dominant_form action table, and the measured routing discipline. Call once per session before working with maps from datasheetvend_extract_document_map; do not call repeatedly — the text is static per contract version.

Endpoints

URLTransportStateLatencyChecked
https://datasheetvend.com/api/mcp streamable-http answering 80 ms 2 min ago

Alternatives to DatasheetVend

same job, measured the same way
Arkolith
by wikatar

Evidence-backed capital-change intelligence and sourced financial data for AI agents

answering
Document to JSON – PDF Invoice/Statement/Contract Parser
by fashionmascherine-svg

Turn any PDF into structured JSON via AI + OCR: invoices, bank statements, contracts.

answering
O
Ordercore MCP
by ordercore

Commerce backend for AI agents: catalog, prices, inventory, orders, idempotent checkout.

75 installs/wk local only
DocPull
by raintree-technology

Sync public web sources into cited context packs for AI agents, RAG, and MCP clients.

690 installs/wk local only
SheetsData
by octoco-ltd

Electronic component datasheets for AI agents: pinouts, specs, package info and design checks.

75 installs/wk 14 tools answering
XRPLME Country Intelligence
by daimyovegan

Source-backed country policy data for AI agents; pay-per-call via x402 (XRP or USDC).

8 tools answering
Sheetspec
by helloo1568

Contract testing and quality gates for spreadsheets created by AI agents.

69 installs/wk local only
Busabase
by busabase

Database for your AI agent. Turn its output into data, docs, skills, and apps you can actually use.

answering

DatasheetVend — questions

Answers built from our own checks of this server.

What can DatasheetVend do?
It exposes 24 tools, read directly from the server on our last check. Among them: datasheetvend_build_component_twin, datasheetvend_decode_part_number, datasheetvend_extract_absolute_max, datasheetvend_extract_altium_bundle, datasheetvend_extract_analog_specs, datasheetvend_extract_document_map and 18 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is DatasheetVend working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 0 of 92 checks got a reply (0.0%), average response time 80 ms. The bar chart above shows every period we have measured.
Is DatasheetVend still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
The registry lists DatasheetVend as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
How do I connect DatasheetVend?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does DatasheetVend need an API key?
No. DatasheetVend completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 24 of them are readable on this page. This is what we observed, not what the docs claim.