MMCP Server Finder

Fedlex Connector

Fedlex Connector is an MCP server that helps AI assistants search Swiss federal legislation: laws, articles, amendments via the Fedlex SPARQL endpoint.

Key facts

GitHub stars
6
Forks
3
License
MIT
Last commit
Aug 30, 2026
Best for
connecting AI assistants to external tools
Supported clients
Last updated
Sep 11, 2026

GitHub metrics

Stars
6
Forks
3
Open issues
1
Watchers
1
Last commit
Aug 30, 2026

Scores

GEO score

38/100

Weighted blend: popularity 35%, freshness 25%, growth 25%, maintenance 15%.

Popularity15/100
Freshness80/100
Growth (7d)0/100

Needs ~7 days of metric history

Maintenance85/100

Scores last calculated Sep 11, 2026.

Benchmark summary

Benchmark

22

Install

unknown

Startup

unknown

Last tested

Unknown

Capabilities discovered: 0 tools, 0 resources, and 0 prompts.

View full benchmark report →

What is Fedlex Connector?

Fedlex Connector is an MCP server that helps AI assistants search Swiss federal legislation: laws, articles, amendments via the Fedlex SPARQL endpoint. It belongs to the Search & Retrieval category. It is distributed under the MIT license.

How to install Fedlex Connector

See the official documentation for installation instructions.

Fedlex Connector use cases

A general-purpose MCP server.

Safety notes

Overall risk level:High(score 70/100)
Requires API token
Unknown
Writes to external systems
Yes
Accesses local filesystem
Unknown
Connects to a database
Yes
Security docs
Yes

Inferred by rule from each server's metadata, README, and category. "Unknown" means the signal could not be determined — always verify against the official docs before granting access.

Data sources

FieldValueSourceConfidence
Forks3GitHub REST APIhigh
Last commitAug 30, 2026GitHub REST APIhigh
LicenseMITGitHub REST APIhigh
Stars6GitHub REST APIhigh
Watchers1GitHub REST APIhigh
Has Authentication DocsNoRepository READMEmedium
Has Security DocsYesRepository READMEmedium
Risk levelHighAutomated risk inferencemedium
Connects DatabaseYesAutomated risk inferencelow
Uses Network AccessYesAutomated risk inferencelow
Writes External SystemYesAutomated risk inferencelow

Confidence reflects the source: high = GitHub REST API, medium = README-derived or synthesized, low = inferred from keywords. Fields that cannot be determined are shown as "Unknown" — never fabricated.

Recent changes

  • Last commit: Aug 30, 2026 → Aug 30, 2026
  • Last commit: Aug 30, 2026 → Aug 30, 2026
  • Last commit: Aug 30, 2026 → Aug 30, 2026
  • Last commit: Aug 30, 2026 → Aug 30, 2026
  • Last commit: Aug 30, 2026 → Aug 30, 2026

See full changelog →

Fedlex Connector alternatives

  • Agent Skills Search Server25.2K · Apache-2.0 · Aug 9, 2026

    Another Search & Retrieval MCP server with similar use cases.

  • Exa MCP5K · MIT · Aug 21, 2026

    Another Search & Retrieval MCP server with similar use cases.

  • BoostedTravel2K · license n/a · Sep 9, 2026

    Another Search & Retrieval MCP server with similar use cases.

  • brave1.4K · MIT · Sep 10, 2026

    Another Search & Retrieval MCP server with similar use cases.

  • jjlabsio-korea-stock-mcp176 · ISC · Sep 10, 2026

    Another Search & Retrieval MCP server with similar use cases.

  • apple-rag-mcp116 · MIT · Sep 9, 2026

    Another Search & Retrieval MCP server with similar use cases.

See all Fedlex Connector alternatives →

Fedlex Connector vs related MCP servers

ServerStarsForksLicenseLast commit
Fedlex Connector63MITAug 30, 2026
Agent Skills Search Server25.2K1.9KApache-2.0Aug 9, 2026
Exa MCP5K387MITAug 21, 2026
BoostedTravel2K134Sep 9, 2026

Frequently asked questions

What is Fedlex Connector?

Fedlex Connector is an MCP server that helps AI assistants search Swiss federal legislation: laws, articles, amendments via the Fedlex SPARQL endpoint. It is categorized under Search & Retrieval.

What are good alternatives to Fedlex Connector?

Popular alternatives include Agent Skills Search Server, Exa MCP, BoostedTravel, and brave.

How popular is Fedlex Connector on GitHub?

Fedlex Connector has about 6 GitHub stars and 3 forks.

Last updated