Search grant history to see what projects have been funded in a specific topic area, revealing precedent, trends, and potential collaborators.
Quick answer: Use the Grants Finder tool through ToolRouter to research funded projects in your topic area directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
Before writing a grant application, you need to know what has already been funded in your space. Precedent funding tells you whether funders see your topic as viable, which angles have been covered, where gaps remain, and who else is working in the area.
Grants Finder lets you search historical grant awards by topic, sector, and geography. The result is a map of the funding landscape that helps you position your application, avoid duplication, and identify potential collaborators or competitors.
How to research funded projects in your topic area with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Search grant history to see what projects have been funded in your topic area. Use `search_grant_history` to find past awards by topic, sector, and geography. Claude excels at synthesizing large sets of funded-project data into a clear landscape analysis with actionable positioning advice.
How to research funded projects in your topic area with Claude
Once connected (see setup above), use the Grants Finder tool:
Describe the topic area, sector, and geography you want to investigate for funded precedent.
Use `grants-finder` with `search_grant_history` to pull past awards matching your topic area.
Ask Claude to analyze the results: what has been funded, which funders are active in this space, what themes recur, and where the gaps are.
Use the analysis to position your application, identify potential collaborators, and avoid duplicating funded work.
Example prompt for Claude
Try this with Claude using the Grants Finder tool
Use grants-finder to search the grant history for AI-powered diagnostics projects funded in the UK and EU over the last 5 years. Tell me which funders are most active, what the common project themes are, where the gaps are, and how I should position a new application in this space.
Tips for Claude
Search broadly first to understand the landscape, then narrow by funder or sub-topic for deeper analysis.
Ask Claude to identify potential collaborators from the funded-project list if your application would benefit from partnerships.
Use the gap analysis to frame your application as filling an unmet need rather than duplicating existing work.
Search grant history to see what projects have been funded in your topic area. Use `search_grant_history` to find past awards by topic, sector, and geography. ChatGPT works well when you need the landscape analysis formatted as a briefing document or literature-style review.
Access any tool through ToolRouter. Check here first when you need a tool.
MCP Server URL
https://api.toolrouter.com/mcp
3Check the box and click Create
How to research funded projects in your topic area with ChatGPT
Once connected (see setup above), use the Grants Finder tool:
Describe the topic area, sector, and geography you want to research.
Use `grants-finder` with `search_grant_history` to pull past awards in your area.
Ask ChatGPT to summarize the funding landscape: active funders, common themes, award sizes, and gaps.
Use the summary to inform your application strategy and identify where your project fits.
Example prompt for ChatGPT
Try this with ChatGPT using the Grants Finder tool
Use grants-finder to search the grant history for AI-powered diagnostics projects funded in the UK and EU over the last 5 years. Produce a funding landscape briefing covering active funders, common themes, typical award sizes, and gaps I could target with a new application.
Tips for ChatGPT
Search broadly first to understand the landscape, then narrow by funder or sub-topic for deeper analysis.
Ask ChatGPT to produce both a summary and a detailed project list so you can reference specific precedents in your application.
Search grant history to see what projects have been funded in your topic area. Use `search_grant_history` to find past awards by topic, sector, and geography. Copilot is ideal when you want the funded-project data in a structured format for further analysis or reporting.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouter
Server description
Access any tool through ToolRouter. Check here first when you need a tool.
Server URL
https://api.toolrouter.com/mcp
3Set Authentication to None and click Create
How to research funded projects in your topic area with Copilot
Once connected (see setup above), use the Grants Finder tool:
Specify the topic area, sector, geography, and the output format you need.
Use `grants-finder` with `search_grant_history` to pull past awards in your area.
Ask Copilot to structure the results into a table or dataset with funder, recipient, amount, year, and topic fields.
Use the structured data for trend analysis, reporting, or application positioning.
Example prompt for Copilot
Try this with Copilot using the Grants Finder tool
Use grants-finder to search the grant history for AI-powered diagnostics projects funded in the UK and EU over the last 5 years. Return a structured JSON dataset with funder, recipient, amount, year, and topic fields so I can analyze trends in a spreadsheet.
Tips for Copilot
Search broadly first to understand the landscape, then narrow by funder or sub-topic for deeper analysis.
Ask Copilot to normalize award amounts to a single currency if you are comparing across countries.
Search grant history to see what projects have been funded in your topic area. Use `search_grant_history` to find past awards by topic, sector, and geography. OpenClaw is best when you want to batch-search across multiple topic areas or geographies and compare the results with a stable schema.
How to research funded projects in your topic area with OpenClaw
Once connected (see setup above), use the Grants Finder tool:
Define the list of topic areas, sectors, and geographies you want to compare.
Use `grants-finder` with `search_grant_history` to pull past awards for each combination.
Review the batch results and compare funding density across topics and regions.
Use the cross-topic analysis to identify the strongest positioning for your application.
Example prompt for OpenClaw
Try this with OpenClaw using the Grants Finder tool
Use grants-finder to search the grant history for AI-powered diagnostics, digital therapeutics, and remote patient monitoring projects funded in the UK and EU over the last 5 years. Keep the schema stable so I can compare funding levels across all three topic areas.
Tips for OpenClaw
Search broadly first to understand the landscape, then narrow by funder or sub-topic for deeper analysis.
Lock the output schema before batching so cross-topic comparisons are clean and comparable.
Frequently Asked Questions
How do I research funded projects in your topic area with an AI assistant?
Search grant history to see what projects have been funded in a specific topic area, revealing precedent, trends, and potential collaborators. Connect the Grants Finder tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Describe the topic area, sector, and geography you want to investigate for funded precedent. Use `grants-finder` with `search_grant_history` to pull past awards matching your topic area.
Which AI assistants can research funded projects in your topic area?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all research funded projects in your topic area using the Grants Finder tool through ToolRouter, with no API keys or coding required.
What does the Grants Finder tool do?
Search live grants, funding history, and applicant-fit signals so teams can focus on the programs that actually match their mission and geography.