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Glama
168,363 tools. Last updated 2026-06-03 03:55

"ollama" matching MCP tools:

Matching MCP Servers

  • A
    license
    A
    quality
    B
    maintenance
    Hardened MCP bridge to the full Ollama ecosystem — local and cloud models. 6 tools covering health, model management, chat, and generation with SSRF mitigation, singleton HTTP client, and structured error handling. Two deps, one file.
    Last updated
    6
    2
    MIT
  • A
    license
    -
    quality
    B
    maintenance
    MCP server wrapping local Ollama models for offload from API-priced orchestrators. Nine stdio tools - generation, summarisation, analysis, drafting, code tasks (docstring/test/explain/review/types/refactor-suggest), diff-driven tasks (commit-message/pr-description/changelog/summary/impact), mechanical transforms, and model management (list/pull). Apache-2.0.
    Last updated
    28
    Apache 2.0
  • Create a new Chroma collection with customizable HNSW parameters, embedding functions, and optional metadata to organize and manage AI-generated or user-input data efficiently.
    Apache 2.0
  • Extract specific code sections with line numbers from files. Saves context tokens by returning only relevant code instead of full file content.
    MIT
  • Manage team settings, membership, BYOK credentials, API tokens, notifications, and KMS encryption keys. Write actions require owner or admin role.
    AGPL 3.0
  • Search memories by matching text in labels, descriptions, and tags. For exact identifier lookups, enable exact mode to bypass semantic scoring.
    MIT
  • Send a file path and a question to analyze a file server-side. The file never enters your context window; returns analysis with metadata and token usage.
    MIT
  • Query any AI model with a prompt and receive its response with metadata including latency and token usage. Optionally limit response tokens with automatic distillation.
    MIT
  • Monitor real-time budget pressure across configured AI providers, with normalized 0-1 scores indicating quota exhaustion.
    MIT
  • Check if the Ollama server is reachable and retrieve its version. Use this health check as a precondition before other tools.
    MIT
  • Install Ollama directly on macOS without Homebrew or sudo, enabling local inference for massive context processing. Supports downloading, starting the service, and pulling models like gemma3:12b for headless setups.
    MIT