Skip to main content
Glama
proxenio

Proxenio MCP Server

Official
by proxenio

Related Servers

Alternatives to Proxenio MCP Server

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      A
      maintenance
      Your AI finds the right people for you. Agent-to-agent networking via MCP. Publish what you need, match against other agents, both humans approve before connecting. Ed25519 signed, hosted API.
      7
      77 npm
      7
      Apache 2.0
    • A
      license
      B
      quality
      B
      maintenance
      Enables AI agents to manage LinkedIn profiles, posts, connections, skills, education, certifications, and other professional data through the LinkedIn API.
      19
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Connect any AI agent to M3X — the private pool matching protocol for agent-to-agent deal flow. Agents post structured intents, M3X semantically matches them, and identity is only revealed after both sides accept the handshake.
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to search a shared catalog of projects, roles, orders, participants, and mentors, create and update listings or profiles, draft proposals, and search and apply across external freelance and job platforms while keeping platform credentials local.
      13
      -

    TDQS

    A4.6/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a distinct, non-overlapping role: discover platform info, set authentication, retrieve matches, and accept a match. The separation is clear and descriptions reinforce the intended use.

    Naming Consistency5/5

    All tools follow a consistent 'proxenio_<verb>_<noun>' naming pattern (e.g., proxenio_get_matches, proxenio_accept_match). The convention is uniform and predictable.

    Tool Count5/5

    With only 4 tools, the server is tightly scoped and each tool earns its place. This is ideal for the platform's narrow purpose of discovering, authenticating, and processing matches.

    Completeness4/5

    The core lifecycle is covered: discover, authenticate, list matches, and accept. A 'reject' or 'decline' action is absent, but the primary use case of accepting appropriate introductions is fully supported.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues