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Scientific research · MCP server

Legiscan MCP: MCP server, setup and security

Legiscan MCP is an open-source MCP server that lets an AI agent search US legislation and retrieve full texts votes and legislators. Its repository has 12 stars and its last commit is from September 24, 2026 and it is licensed under MIT.

Score
56/100
Adoption (stars) 11/40
Maintenance 30/30
Framework (licence, registry, official) 15/30
Actively maintained

What Legiscan MCP does

According to its repository: “Legislative data from all 50 US states and Congress via the LegiScan API: search bills, get full text, track votes and look up legislators.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Legiscan MCP is listed under Scientific research, a category of 35 servers in the directory, where it ranks #24 by stars.

Topics declared by the repository: legiscan, legislation, bills, congress, state-legislature, political-data.

Installing and connecting Legiscan MCP

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Legiscan MCP. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on December 23, 2025, the sh-patterson/legiscan-mcp repository has 12 stars and 4 forks, with 0 open issues. It has more stars than 29% of the servers in the directory. Last change 1 month ago.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Zotero MCP (54yyyu)Zotero MCP (54yyyu) : 5.5K5.5KToolUniverseToolUniverse : 1.8K1.8KIdea reality MCPIdea reality MCP : 828828Research toolkitResearch toolkit : 299299TinySearchTinySearch : 233233Deep research MCPDeep research MCP : 115115Paper preflightPaper preflight : 100100OmniSeekOmniSeek : 9595Legiscan MCPLegiscan MCP : 1212
GitHub stars of the most followed servers in the category (log scale); Legiscan MCP in orange. Checked October 25, 2026.

Verdict

Legiscan MCP is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Permissive licence (MIT)

Limitations

  • Few visible users
  • Install from source

Frequently asked questions

How do I install Legiscan MCP?

No package is declared in the MCP registry: clone the sh-patterson/legiscan-mcp repository, follow its README, then declare the start command in your client's MCP configuration.

Is Legiscan MCP free?

The code is published under the MIT licence and can be used free of charge.

Is Legiscan MCP safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by sh-patterson on GitHub. Check who maintains it before giving it access.

What are the alternatives to Legiscan MCP?

In the same category: Zotero MCP (54yyyu), ToolUniverse, Idea reality MCP, and Research toolkit. Zotero MCP (54yyyu) and ToolUniverse score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score