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mireye-mcp

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 27 Jul 2026. How this is checked

mireye-mcp is an MCP (Model Context Protocol) server that delivers federal-source-cited geospatial and Earth data to any compatible AI agent or coding assistant such as Claude or Cursor. It enables agents to query accurate location-based information with proper citations directly within their workflows.

Inferred · not functionally tested

Open SourceMITCLIAPI
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Overview

3 features

Purpose: Providing reliable, cited geospatial data to MCP-compatible AI agents and coding tools.

Inferred · not functionally tested

Audience: AI agent developers

Inferred · not functionally tested

Functions: rag, data_extraction

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

In the Frameworks & runtimes space, mireye-mcp takes a focused approach. Inferred · not functionally tested: It focuses on providing reliable, cited geospatial data to MCP-compatible AI agents and coding tools. Inferred · not functionally tested: It is built as an open-source project for AI agent developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line and API.

Mireye Labs builds and maintains mireye-mcp, and it first shipped in 2026. The project is developed in the open on GitHub with 2 commits in the last 90 days. Inferred · not functionally tested: Among its 3 catalogued features are Geospatial Data, MCP Server, and Federal Data Sources. Inferred · not functionally tested: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Geospatial Data
  • MCP Server
  • Federal Data Sources

Topics: Inferred · not functionally tested

Tags
mcp-servergeospatial-datamodel-context-protocolearth-data
AI capabilities
Structured

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
MCP
Runs on
CLIAPI-only

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed27 Jul · 02:54 UTC
    mireye-mcp seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open

Frequently asked questions about mireye-mcp

What does mireye-mcp do?
Inferred · not functionally tested: Mireye-mcp focuses on providing reliable, cited geospatial data to MCP-compatible AI agents and coding tools. It is catalogued under Frameworks & runtimes on PulseGate.
Who should use mireye-mcp?
Inferred · not functionally tested: mireye-mcp is an open-source project built for AI agent developers.
Is mireye-mcp free?
Basis unknown · not verified: Yes — mireye-mcp is open source under the MIT license and free to use.
What platforms does mireye-mcp run on?
Basis unknown · not verified: mireye-mcp runs on the command line and API.
Is mireye-mcp still maintained?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 2 commits in the last 90 days.
What are alternatives to mireye-mcp?
Similar projects tracked by PulseGate include Mireye, peering-mcp, and ucm-mcp.Mireyepeering-mcpucm-mcp
Who develops mireye-mcp?
mireye-mcp is developed by Mireye Labs.
How long has mireye-mcp been around?
mireye-mcp first shipped in 2026.

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