Skip to main content
Glama
76,804 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"A guide for product selection" matching MCP servers:

  • A
    license
    A
    quality
    A
    maintenance
    50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.
    50
    376
    5
    MIT
  • A
    license
    B
    quality
    C
    maintenance
    Provides a governed analytics layer over synthetic product data, exposing MCP tools for investigating product metrics, slicing by dimensions, and comparing periods while preventing unrestricted SQL access.
    6
    MIT
  • A
    license
    A
    quality
    F
    maintenance
    Enables AI agents to discover, request access to, and query data products in Data Mesh Manager, enforcing governance policies while retrieving business data from platforms like Snowflake and Databricks.
    4
    46
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables optimal freight-mode selection (air, sea-LCL, full container) by solving 3D bin-packing, cost optimization, and delivery-risk analysis behind two tools: solve for deterministic planning and explain for hallucination-proof natural-language narration of results.
    2
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Data compression MCP server with auto-algorithm selection (gzip, brotli, deflate). 7 tools for compress, decompress, analyze, store, retrieve, list, and stats. Achieves 60x compression on docs, 30x on SQL. Lossless round-trip verified. Zero dependencies.
    9
    2
    MIT
  • A
    license
    B
    quality
    F
    maintenance
    Provides efficient handling of large Excel files through automatic chunking and pagination, using MCP to enable seamless file reading and management features such as sheet selection and error handling.
    1
    29
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables LLM agents to interact with the MOSTLY AI Platform for generating synthetic data, including training generators, managing data connectors, executing queries, and generating synthetic datasets with OAuth 2.1 authentication.
    2
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    Exposes ERP data (production orders, inventory, BOM, customers) to any MCP client through a backend-neutral interface, with a mock backend for testing.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    A FastMCP integration server that provides access to Apache Gravitino metadata management APIs, allowing users to manage catalog/schema/table metadata, tags, and user-role information through a structured interface.
    23
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    An MCP server for controlling Apache Airflow 3 via its REST API, enabling operations like DAG management, task monitoring, and more through natural language.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    MCP server for k-prevention, enabling AI assistants to access decrypted financial data, run Monte Carlo simulations, optimize scenarios, and manage scenarios locally while preserving end-to-end encryption.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables advanced HubSpot CRM operations including unlimited record extraction, duplicate detection and merging, property drift analysis, and bulk upserts, surpassing official API limits.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A production-ready MCP server that provides comprehensive dbt project quality assessment for any GitHub repository, enabling AI agents to analyze dbt models, check metadata coverage, and map data lineage.
    9
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server that diagnoses Apache Spark job failures and optimizes performance using stack-trace analysis and LLM providers, supporting EMR and local sources.
    MIT