Skip to main content
Glama
107,626 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"A server for finding flights" matching MCP servers:

GET /v1/servers – MCP directory API reference
  • A
    license
    A
    quality
    A
    maintenance
    Multi-agent swarm orchestrator for AI workflows. Exposes blackboard read/write, agent dispatch, permission gating (AuthGuardian), token budget enforcement (FederatedBudget), and audit log tools over MCP. Supports 14 AI framework adapters including LangChain, AutoGen, CrewAI, Codex, and A2A — mix any frameworks in one swarm with race-condition-safe shared state.(Traffic light for agents)
    24
    718 npm
    79
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables AI agents to choose the lowest-carbon cloud region for a workload, with tools for ranking regions by carbon intensity and latency, and for finding optimal start times to reduce emissions.
    3
    40 npm
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills enginee
    3
    407
    Apache 2.0
  • A
    license
    A
    quality
    B
    maintenance
    Lets separate coding-agent sessions coordinate through a shared, role-addressed mailbox instead of a human relaying every message, over a single local SQLite file or a hosted server with many isolated channels. Messages can be sent as tracked obligations that stay open until one side resolves and the other confirms, alongside threads, full-text search, work statuses, and an append-only versioned pin system where protected changes require recorded agreement from every declared role.
    41
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables Claude Code and other MCP clients to obtain fast, low-latency snap decisions — tool choice, option selection, and abstention when confidence is low — from a pluggable local decision engine such as Laya, Von, an Ollama chat model, or a custom provider. Engines can be swapped without changing the stable tools the client sees, with validation, per-attempt timeouts, confidence thresholds, and fallback chains handled by the server.
    3
    Apache 2.0
  • F
    license
    A
    quality
    D
    maintenance
    Discover which MCP servers can interact with real-world entities like restaurants, hotels, and salons by querying the Dock AI registry using domain names.
    1
    2
    -
  • A
    license
    A
    quality
    A
    maintenance
    Enables browser automation for coding agents via MCP, allowing them to open pages, search, extract data, click, type, and complete multi-step tasks with fast single-round-trip decisions.
    14
    4
    MIT