MCP server

Opennih Official

org.opennih/opennih

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Entity-resolved NIH grant corpus (FY1985-2026) via 14 read-only, provenance-carrying MCP tools.

Working at last checkVerified publisher: opennih.orgAbout 5,680 tokens per request once connected14 tools

https://mcp.opennih.org/mcp

At a glance

Type: MCP server
Publisher: opennih.org (verified by the MCP Registry)
Status: Working at last check
Tools: 14
Token cost: About 5,680 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http opennih https://mcp.opennih.org/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.opennih]
url = "https://mcp.opennih.org/mcp"

Gemini CLI

{"mcpServers":{"opennih":{"httpUrl":"https://mcp.opennih.org/mcp"}}}

Cursor

{"mcpServers":{"opennih":{"url":"https://mcp.opennih.org/mcp"}}}

VS Code

{"servers":{"opennih":{"type":"http","url":"https://mcp.opennih.org/mcp"}}}

Antigravity

agy mcp add opennih https://mcp.opennih.org/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"opennih","server_url":"https://mcp.opennih.org/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"opennih","server_url":"https://mcp.opennih.org/mcp"}

Tools

activity_code_distribution ~313 tokens
Use this tool when the user asks what KINDS of awards NIH (or one Institute) makes — 'how much goes to R01s vs training grants', 'what share of NCI's portfolio is centers', 'break NIH down by mechanism'. Returns counts and recorded totals per mechanism class (research / career / training / center /
fetch ~289 tokens
Use this tool to retrieve the full record for one NIH grant by its id. Returns {id, title, text, url, metadata} with url set to the public OpenNIH grant page so the client can cite it. This is the OpenAI Deep Research compatibility wrapper resolving the canonical row for an id. The record is PROJECT
funding_growth ~332 tokens
Use this tool when the user asks about the RATE of change rather than the level — 'is this university's NIH funding growing', 'what's the CAGR since 2015', 'who grew fastest'. Returns year-over-year growth plus a window CAGR for one institution (entity_id, the canonical institution identifier) or al
funding_trend ~418 tokens
Use this tool to get yearly NIH funding totals and grant counts. Returns a time series for the whole NIH, one Institute/Center, one activity code, or one institution. Use it when the user asks 'how much NIH funding was awarded in FY2020', 'how has NIH's budget changed over time', or 'plot R01 dollar
get_institution_profile ~493 tokens
Use this tool when the user asks about one named institution — 'what is Harvard's NIH funding history', 'which PIs does this university fund', 'what mechanisms does it win'. entity_id is the canonical institution identifier (from the institution ranking); grant-search results do NOT carry one. Read-
get_pi_profile ~533 tokens
Use this tool when the user asks about one researcher — 'how much NIH funding does Dr. X have', 'list this PI's grants', 'who does she collaborate with'. profile_id is the NIH RePORTER PI identifier carried in grant-search results' pi_profile_id field and is not guessable. Read-only PI profile: gran
ic_topic_cross ~391 tokens
Use this tool when the user asks what ONE NIH Institute funds in a topic — 'what is NCI spending on immunotherapy', 'does NIMH fund psychedelics research', 'compare NIAID and NCI on vaccines' (call it once per Institute), or ic='ALL' for every IC at once. The response states which surface produced t
institution_concentration ~346 tokens
Use this tool when the user asks how concentrated or unequal NIH funding is across institutions — 'is NIH money concentrated in a few universities', 'what share do the top 5 take', 'has inequality grown since 2000'. Returns gini, hhi, top5_share and the top-5 institutions over the competitive RPG-re
mechanism_mix ~346 tokens
Use this tool when the user asks what mix of award types ONE institution wins — 'is this university mostly R01s or centers', 'how much of its NIH money is training', 'compare two schools' portfolios'. entity_id is the canonical institution identifier (from the institution ranking). With entity_id it
rank_institutions ~418 tokens
Use this tool when the user asks which institutions get the most NIH money — 'top NIH-funded universities', 'where does NCI money go', 'rank research hospitals by R01 funding'. Each ranked row also yields its entity_id, the canonical institution identifier. Ranks institutions by competitive RPG-rese
search ~578 tokens
Use this tool when a Deep Research or connector client needs citation-shaped NIH grant hits for a natural-language query. Returns {"results": [{id, title, text, url}]} where id is the NIH project_num and url is the public OpenNIH grant page. Each record is PROJECT-level, not project-year: ids are un
search_grants ~800 tokens
Use this tool when the user asks to find NIH grants — by topic, principal investigator, institution, NIH Institute/Center, activity code, fiscal year, or project number ('what NIH grants exist on CRISPR', 'show me Stanford's R01s in 2022', 'look up 5R01CA036569-02'). This is the primary entry point:
source_status ~175 tokens
Use this tool when the user asks whether the OpenNIH corpus is loaded, which official sidecars are available, or how stale the data might be — and before reporting 'no such grant', since corpus_lag_note explains that a grant added to RePORTER after the snapshot cutoff is absent here, not nonexistent
topic_trend ~248 tokens
Use this tool when the user asks how a research topic has trended over time — 'is CRISPR funding growing', 'how many p53 grants per year', 'when did NIH start funding long COVID'. Returns yearly project-row counts plus recorded award totals for a title keyword match; multi-word queries AND their wor

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