cablegram-mcp

Purpose: Keeping AI models informed about AI and technology developments published after their training cutoff.

Inferred · not functionally tested

Audience: AI developers building MCP-compatible assistants and agents

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: indicated (inferred, not tested)

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

cablegram-mcp sits in PulseGate's Frameworks & runtimes category. Inferred · not functionally tested: It focuses on keeping AI models informed about AI and technology developments published after their training cutoff. Inferred · not functionally tested: cablegram-mcp is an open-source project aimed at AI developers building MCP-compatible assistants and agents. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line and API, and it can be self-hosted.

Levon Gabrielyan builds and maintains cablegram-mcp, and it first shipped in 2026. The project is developed in the open on GitHub with 166 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are MCP server, 29 news sources, and RSS reading. Inferred · not functionally tested: Catalogued interfaces include an MCP server.

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