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Fodda Deep Research MCP Server

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Fodda Deep Research is answering right now. Last checked 4 min ago. It exposes 14 tools. Last commit 18 Sep 2026.

Autonomous deep research reports merging PSFK trend graphs with citable sources.

Uptime history 47 days of history · worst day 93%
47 days agonow
100.0%
Uptime 24h
92 of 92 checks
14
Tools
read from the server
276 ms
Response time
average over 24h
1
Stars
last commit 18 Sep 2026

What changed 44

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 10 August 2026. No other catalogue keeps this.

1 Sep a tool changed version6 times that day
1 Sep a tool description was rewritten generate_visual
1 Sep a tool changed the parameters it asks for generate_visual
28 Aug a tool changed version
24 Aug 5 tools changed the parameters they ask for get_evidence, get_label_values, get_neighbors and 2 more
24 Aug a tool changed version2 times that day
23 Aug 6 tool descriptions were rewritten deep_research_topic, get_capabilities, get_evidence and 3 more
23 Aug a tool changed version2 times that day
23 Aug a tool changed the parameters it asks for deep_research_topic
22 Aug a tool changed version10 times that day
and 25 more, back to 10 August 2026

Nothing serious here today

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

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 4 min ago.

run in your terminal
claude mcp add deep-research --transport http https://mcp.fodda.ai/deep-research
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "deep-research": {
      "url": "https://mcp.fodda.ai/deep-research"
    }
  }
}
~/.codex/config.toml
[mcp_servers.deep-research]
url = "https://mcp.fodda.ai/deep-research"
.cursor/mcp.json
{
  "mcpServers": {
    "deep-research": {
      "url": "https://mcp.fodda.ai/deep-research"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "deep-research": {
      "url": "https://mcp.fodda.ai/deep-research"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Available tools 14

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

supplemental
check_supplemental_status
Check if market data gathering is complete and retrieve the results. Call this after get_supplemental_context — poll every 5-10 seconds until status is COMPLETE or FAILED.
get_supplemental_context
A standard layer for macro, institutional, and real-time market data. Call this tool when curated coverage is thin, empty, or when the query is explicitly demand/attention-shaped (e.g. to get search volume, economic series, or census data). It retrieves data from 80+ authoritative sources (Google Trends, FRED, BLS, Census, etc.) fanned out in parallel. Returns categorized data blocks with source attribution and metadata. Note: call after search_graph indicates thin/empty coverage via its coverage annotation.
account
get_my_account
Check the current user's account status: API call balance, plan, enabled/disabled graphs, and profile info. Use when the user asks "how many API calls do I have?", "what plan am I on?", "what graphs can I access?", or similar account questions. Returns live data — not cached from session start.
capabilities
get_capabilities
Returns Fodda's main capabilities / features / offerings / products / services / tools and how to use them. Call this for any question about what Fodda can do or what's available.
deep
deep_research_topic
Launch an autonomous Deep Research session that combines Fodda knowledge graph intelligence with live web research to produce a comprehensive editorial-quality report. The Research Agent plans its own strategy, searches multiple graphs, validates with institutional data, and synthesizes into a narrative brief with inline source citations. Use for complex, multi-faceted questions that need both curated expert intelligence AND current web context — e.g., strategic briefings, market landscape reports, competitive deep dives. Automatically includes earnings-call intelligence and macro/supplemental data when the topic warrants it (public companies, sectors, economic conditions). You do not need to call the earnings or supplemental tools separately before or after.
evidence
get_evidence
Get the source articles, case studies, and statistics behind a specific trend — with full citations and publisher attribution. Each item includes source URL, location, brand names, publication date, category, and a formatted citation. Use after search_graph when you need the supporting proof behind a trend. This is a direct lookup by trend ID — not a text search tool.
generate
generate_visual
Create a presentation-ready data visualization from research findings. Available chart types: "cultural_shifts" (From→To transitions), "competitive_compass" (brands on 2 axes), "trend_constellation" (network of related trends), "implication_ladder" (Signal→Trend→So What→Do What), "innovation_pathway" (Now→Near-Term→Future), "opportunity_map" (2×2 white space analysis). Returns a branded SVG that renders directly in the chat. Highlight focal entity using top-level "focus":"Name" or per-item "focus":true.
graph
search_graph
Find trends, signals, and expert insights across 100+ curated knowledge graphs covering retail, beauty, tech, food, travel, sports, and 30+ specialist domains. Returns trend data with cited evidence, source attribution, and lifecycle stage (emerging/building/mature/fading) — not generic web summaries. If graphId is omitted, searches ALL accessible graphs in parallel (recommended default). Use for market trends, competitor analysis, innovation signals, consumer behavior, cultural shifts, or any topic where curated expert intelligence outperforms web search.
graphs
list_graphs
List all expert knowledge graphs the user can access — IDs, descriptions, authors, sectors, signal counts, and topic coverage (e.g. retail, tech, food, travel, fashion, beauty, sports). Use FIRST in any session to discover available sources before searching. Returns graph metadata needed for graphId parameters in other tools.
label
get_label_values
List all brands, locations, technologies, audiences, or trends within a specific knowledge graph. Use to explore what a graph contains — e.g., "what brands are in the retail graph?" or "what locations does the fashion graph cover?". To get a complete list of every trend in a graph, call with label="Trend" — this returns the full deterministic list, useful for industry-report graphs where search may return partial results.
neighbors
get_neighbors
Discover what's connected to a specific trend — related brands, technologies, locations, and cross-domain links that search alone wouldn't surface. Returns curated editorial connections between trends that web search cannot provide. Use after search_graph to map the territory around a trend, find which brands are connected, or understand cross-domain relationships. Requires node_id from a prior search_graph result.
node
get_node
Get the full profile of a specific trend — detailed description, lifecycle stage (emerging/building/mature), signal strength, geographic scope, and all properties. Use when you need deeper detail on a single trend after search_graph returned a summary. Requires node_id from a prior search_graph result.
research
check_research_status
Check if deep research is complete and retrieve the final report. Call this after deep_research_topic — poll every 10 seconds until status is COMPLETE or FAILED.
url
read_url
Extract clean text content from any URL. Use this when a user shares a link (competitor site, news article, client brief, trend report) and wants to cross-reference it against Fodda knowledge graphs. Returns structured text ready for analysis.

Endpoints

URLTransportStateLatencyChecked
https://mcp.fodda.ai/deep-research streamable-http sign-in 196 ms 4 min ago

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Fodda Deep Research — questions

Answers built from our own checks of this server.

What can Fodda Deep Research do?
It exposes 14 tools, read directly from the server on our last check. Among them: check_research_status, check_supplemental_status, deep_research_topic, generate_visual, get_capabilities, get_evidence and 8 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 Fodda Deep Research working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 276 ms. The bar chart above shows every period we have measured.
How do I connect Fodda Deep Research?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to Fodda Deep Research?
No API key is involved. Fodda Deep Research answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is Fodda Deep Research?
It answers our handshake in 276 ms on average, which is faster than 53% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Fodda Deep Research open source?
We cannot say either way: written in TypeScript and 1 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.