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thel-consulting/funding-finder-mcp

开发工具

本页由 AI 翻译,技术细节请以原文为准。 查看原文

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免费、开源、只读的 MCP 服务器,适用于 SBIR/STTR 及联邦资助项目:Grants.gov、NIH RePORTER 和 NSF Award Search,每个结果均附有源代码 URL。

概览

一个免费、开源、只读的 MCP 服务器,用于 SBIR/STTR 和联邦资助。它能搜索 Grants.gov、NIH RePORTER 和 NSF 奖项搜索 API。每个结果都包含其来源记录的 URL。 - 无账户,无 API 密钥,无用户数据存储。详见 PRIVACY.md。- TypeScript,官方 @modelcontextprotocol/sdk 流式 HTTP 传输,构建为 Netlify 函数(/mcp),带有 Netlify Blobs 响应缓存。- MIT 授权。由 Thel Consulting 维护。 所有工具均为只读(readOnlyHint: true, destructiveHint: false),并用zod验证输入。 - NIH RePORTER 每个项目每个财政年度返回一项记录,因此每年出现一次多年度奖励。金额为当年度award_amount。- NSF 多词关键词由 API 进行 OR处理。使用 AND 要求每个词。- NSF 汇总金额为每个奖项应付的总资金,按授予日期的财政年度分组。

概述(AI 翻译)

一个免费、开源、只读的 MCP 服务器,用于 SBIR/STTR 和联邦资助。它能搜索 Grants.gov、NIH RePORTER 和 NSF 奖项搜索 API。每个结果都包含其来源记录的 URL。

  • 无账户,无API密钥。查询不存储或记录。详见 PRIVACY.md 及使用条款。
  • TypeScript,官方的@modelcontextprotocol/sdk可流式HTTP传输,构建为Netlify函数(/mcp),带有Netlify Blobs响应缓存。
  • 麻省理工学院授权。由Thel咨询公司维护。

工具

所有工具都是只读的(readOnlyHint: true、destructiveHint: false),并用zod验证输入。

工具 它的作用 来源
search_open_opportunities 预测和发布的资金机会。筛选条件:关键词、机构代码(例如 HHS-NIH11、NSF、DOD)、资格代码(23 是小型企业)、状态、行数、偏移量,以及下面的噪声过滤器。 Grants.gov 搜索2
search_nih_awards 资助的NIH项目。默认使用SBIR/STTR活动代码R43、R44、R41、R42。筛选条件:文本、组织状态、研究所(IC)、财政年度、活动代码。 NIH RePORTER v2
search_nsf_awards 国家科学基金会奖项。

本页由 AI 翻译,技术细节请以原文为准。

README

以下为原文 README 节选,完整内容请查看原文。

Federal Funding Finder

A free, open-source, read-only MCP server for SBIR/STTR and federal grants. It searches Grants.gov, NIH RePORTER and the NSF Award Search API. Every result carries the URL of the record it came from.

  • No accounts, no API keys. Queries are not stored or logged. See PRIVACY.md and the terms of use.
  • TypeScript, the official @modelcontextprotocol/sdk, streamable HTTP transport, built as a Netlify Function (/mcp) with a Netlify Blobs response cache.
  • MIT licensed. Maintained by Thel Consulting.

Tools

All tools are read-only (readOnlyHint: true, destructiveHint: false) and validate input with zod.

Tool What it does Source
search_open_opportunities Forecasted and posted funding opportunities. Filters: keyword, agency code (for example HHS-NIH11, NSF, DOD), eligibility codes (23 is small businesses), status, rows, offset, plus the noise filters below. Grants.gov search2
search_nih_awards Funded NIH projects. Defaults to SBIR/STTR activity codes R43, R44, R41, R42. Filters: text, org states, institutes (IC), fiscal years, activity codes. NIH RePORTER v2
search_nsf_awards NSF awards. Defaults to SBIR/STTR Phase I, Phase II and Fast-Track company awards (see the notes below). Filters: keyword (supports AND, OR, NOT), awardee state, award date range, rows, offset. NSF Award Search
similar_funded_projects Takes a project description, extracts key terms, searches NIH and NSF, and ranks funded projects by term overlap. NIH and NSF
agency_sbir_summary SBIR/STTR counts and dollar totals by fiscal year, activity code or program, top organizations, and by state when no state is given. NIH or NSF

Grants.gov noise filters (search_open_opportunities). Grants.gov keeps listing some records long after they stopped being useful, so these run on the server after each upstream page:

Parameter Default Drops
open_only true Posted opportunities whose close date is before today (America/Denver).
forecast_max_age_days 365 Forecasts posted more than this many days ago, for example 2024 and early 2025 forecasts that never turned into a posting. 0 turns it off.
rolling_max_age_days 1460 Posted opportunities with no close date that were posted more than 4 years ago, for example the FY 2021 to FY 2023 EDA regional notices. Rolling programs from the last 4 years, such as EDA Public Works (posted 2023), are kept. 0 turns it off.
exclude_no_close_date false Every posted opportunity with no close date. Off by default because many are real rolling programs. Forecasts never have a close date on Grants.gov, so it does not apply to them.
在 GitHub 查看完整 README

安装

This server does not publish a one-line install command.

Open the repository installation guide 新手?先看 mcpskill.org 教程 →

配置

{ "mcpServers": { "funding-finder": { "url": "https://grants.thelconsulting.com/mcp" } } }