Agiscorecard Web3 Workbench MCP Server

by f-tiger Your server? Claim it

answering

Agiscorecard Web3 Workbench is answering right now. Last checked 6 min ago. It exposes 12 tools.

AGI Scorecard Web3 Workbench: ten free deterministic review tools (stablecoin, gas, zkML, agents).

Uptime history 32 days of history

32 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

173 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check Agiscorecard Web3 Workbench every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add agiscorecard-web3-workbench --transport http https://web3.agiscorecard.com/mcp

Settings → Connectors → Add custom connector, then paste this address

https://web3.agiscorecard.com/mcp

~/.codex/config.toml

[mcp_servers.agiscorecard-web3-workbench]
url = "https://web3.agiscorecard.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "agiscorecard-web3-workbench": {
      "url": "https://web3.agiscorecard.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "agiscorecard-web3-workbench": {
      "type": "http",
      "url": "https://web3.agiscorecard.com/mcp"
    }
  }
}

Available tools 12

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

compare

compare_compute_costs

Compute Lens compares measured workload runs using total entered compute, setup, storage and egress costs per accepted output. It filters mismatched workload labels, currencies, quality and memory limits. All examples are fictional; no live GPU quotes are supplied. No live GPU inventory, automatic benchmarking, reservation, infrastructure management or verified savings. Retrieve compute with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

compare_rwa_disclosures

RWA Notes compares two sets of supplied asset disclosure fields while retaining units, dates and source references. It flags missing values and incompatible comparisons. It does not verify reserves, issuer solvency or redemption rights. No live asset feed, reserve audit, redemption verification, credit rating or investment recommendation. Retrieve disclosures with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

plan

plan_fallback_routes

Route Lab compares short supplier sequences using entered cost, success and latency assumptions. It checks the worst-case total against your budget before sorting feasible options by expected cost. It is an offline planning tool; no model or payment is called. Offline planning only. No live requests, model judge, payment, dynamic bandit or production routing. Retrieve route with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

plan_zkml_costs

Proof Plan estimates proving compute and onchain verification costs from your own measurements. It checks a per-job latency target and preserves model, input and verification-key hashes. It plans an integration; it does not generate or verify a zero-knowledge proof. No ZK proof generation or cryptographic verification. File hashing verifies bytes only; it is not proof of model correctness. Retrieve proof with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

data

check_data_permissions

Data Permit compares an intended AI use with your recorded grant conditions: region, expiry, revocation and consent status. It calculates a proposed split of received revenue and keeps incompatible shares unallocated. Matching fields does not establish a legal license. No legal opinion, rights verification, consent collection, access enforcement, token issuance or payment. Retrieve permit with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

decode

decode_token_call

Call Lens decodes supported token-call shapes locally and compares the recipient, spender and atomic amount with your expectations. It distinguishes ERC-20 allowances from ERC-721 token IDs using the declared standard. It never connects a wallet or evaluates contract safety. No chain simulation, malicious-contract detection, token identity lookup, balance inspection or safety verdict. Retrieve calls with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

fetch

fetch

Retrieve a public tool reference by the ID returned from search. Contains methodology, limits, official source links and fictional worked examples; no user records. Cite the returned canonical URL.

model

model_contributor_rewards

Incentive Lab separates customer revenue from token subsidy, then allocates a declared reward budget using accepted work and quality weights. Contributor caps and exact budget conservation keep the scenario inspectable. The worksheet does not establish Sybil resistance or distribute tokens. No live subnet data, fraud detection, Bittensor emission replication, staking recommendation or token distribution. Retrieve incentives with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

protocol

read_protocol_profiles

Protocol Ledger is a free, dated reference for five payment, agent-identity and token interfaces. Each record preserves its official specification, review date and interpretation limits. Filter the same snapshot in the browser or retrieve it through the JSON API. Five initial profiles; no market prices, exhaustive schema coverage, real-time protocol monitoring or paid endpoint. Retrieve protocol with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

reconcile

reconcile_stablecoin_records

Stable Reconcile compares your declared invoices with recorded stablecoin transfers. It separates partial payments, pending transfers and wrong-network records, with exact decimal totals. Use it for a local exception review before updating your books. No wallet sync, automatic matching, FX, refund processing, tax accounting or independent finality checks. Retrieve reconcile with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

review

review_agent_evidence

Agent Evidence reviews imported task outcomes within one task, version and date window. It deduplicates sample labels and shows failures, exclusions and uncertainty. It helps review a supplier comparison; it does not run evaluations or verify reviewer identities. No public reputation ranking, identity verification, calibrated prediction or Sybil detection. Retrieve evidence with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

search

Search this server’s public AI/Web3 tools and citation pages. English and Chinese names supported. Empty query lists the available worksheets.

Endpoints

URL	Transport	State	Latency	Checked
https://web3.agiscorecard.com/mcp	streamable-http	answering	110 ms	6 min ago

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Agiscorecard Web3 Workbench — questions

Answers built from our own checks of this server.

What can Agiscorecard Web3 Workbench do?

It exposes 12 tools, read directly from the server on our last check. Among them: check_data_permissions, compare_compute_costs, compare_rwa_disclosures, decode_token_call, fetch, model_contributor_rewards and 6 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 →

What is Agiscorecard Web3 Workbench mostly used for?

Its tools cluster around compare and plan. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.

Is Agiscorecard Web3 Workbench working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 173 ms. The bar chart above shows every period we have measured.

How do I connect Agiscorecard Web3 Workbench?

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 Agiscorecard Web3 Workbench need an API key?

No. Agiscorecard Web3 Workbench completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 12 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Agiscorecard Web3 Workbench?

It answers our handshake in 173 ms on average, which is faster than 84% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.