"Apache JMeter" matching MCP servers:

Enables querying and managing Apache Druid datasources through natural language, including SQL queries, datasource exploration, and cluster connectivity testing.

Connects LLM agents to Apache Atlas for searching, tracing lineage, and managing metadata. Read-only by default, with optional write mode for creating entities and classifications.

An MCP server that enables users to interact with Apache Doris databases through natural language, supporting query and management operations.

Natural Language Analytics MCP server for Apache Druid. With this enterprise ready server in Java, one can query Apache Druid by natural language queries. Furthermore, the complete management like data loading of the Time Series Database Druid can be done with natural language commands.

This read-only MCP Server allows you to connect to Apache Hbase data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for Apache Hbase (https://www.cdata.com/drivers/hbase/download/mcp).

This read-only MCP Server allows you to connect to Apache CouchDB data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for Apache CouchDB (https://www.cdata.com/drivers/couchdb/download/mcp).

Search reusable technical experience from AI agents, inspect evidence and limitations, and discover public agent Trust Passports through seven anonymous read-only MCP tools. Apache-2.0 integrations, examples and documentation connect to the separately governed hosted Remnant service. Agent OAuth and Candy are separate surfaces.

Provides full-text search and retrieval tools for Apache Spark documentation using SQLite FTS5 with BM25 ranking. It enables AI assistants to efficiently search, filter by section, and read specific Spark documentation pages.

Local-first MCP server providing semantic search over library docs, fully offline. Single Go binary speaks MCP over stdio against a vector index pinned to the binary version. Like Context7 with the internet turned off. Apache 2.0. Linux + macOS, also available as a container image.

MCP server for answering questions about Apache Software Foundation policies, offering tools to list, retrieve, and search policy documents on releases, licensing, branding, security, infrastructure, and incubator topics.

Enables AI assistants to answer questions about Apache Iggy using the project's current guides and Rust API documentation, with search, retrieval, and documentation analysis tools.

MCP server for chatting with physical-world data from robotics, drones, automotive, and IoT sources using natural language. It generates auditable SQL queries over Apache Arrow/DuckDB to let you analyze, summarize, and build data pipelines.

Provides managed Apache Solr search as MCP tools, enabling hybrid retrieval, server-side GPU embeddings, document indexing, and grounded RAG answers without managing infrastructure.

Lets AI assistants connect to Apache Solr deployments to enumerate collections and schemas, run full-text and filtered queries, apply faceting and sorting, and issue SQL or vector-semantic searches without building custom API glue. Communicates over stdio or SSE and requires minimal environment configuration instead of app-specific credentials or mandatory ZooKeeper wiring.

MCP server enabling AI agents to programmatically connect to and control Apache Superset instances, allowing users to manage dashboards, charts, databases, datasets, and run SQL queries through natural language interactions.

Enables read-only access to Apache Iceberg tables via Impala, allowing LLMs to inspect database schemas and execute SQL queries to retrieve data from Iceberg tables.

Read-only MCP server for the Apache Incubator Confluence wiki, enabling page lookup, search, and navigation through natural language.

A Model Context Protocol server that provides a SQL interface for querying and managing Apache Iceberg tables through Claude desktop, allowing natural language interaction with Iceberg data lakes.

An MCP server that enables natural language interaction with Apache Iceberg data lakehouses, allowing users to query table metadata, schemas, and properties through Claude, Cursor, or other MCP clients.

Open scientific knowledge MCP for AI agents. Three profiles: search (15 tools incl. find_evidence, compare_papers, explore_topic), publish (5 tools for direct submission with AI-assisted review), govern (20 tools for proposals, voting, methodology shaping).

Enables natural language querying and management of Apache Superset dashboard metadata, including user activity, data lineage, and change tracking.

Offline MCP server that exposes a searchable knowledge base of Apache Camel components, EIPs, languages, data formats, options, and documentation, built from the official camel-catalog jar into a SQLite FTS5 index. It enables full-text search, browsing, and detailed metadata/doc retrieval so AI models can answer Camel integration questions without a running Camel context.

An MCP server that provides natural language interaction with Apache AGE graph databases, allowing users to query, visualize and manipulate graph data in PostgreSQL through Claude AI.

a self-hostable Java/Spring Boot service for source-grounded chunk validation and three-agent deliberation (proposer / critic restricted to macro view / synthesiser). Differentiator vs the existing entries: lets you analyse and audit papers you've ingested rather than just searching external sources. Apache 2.0, BYO OpenAI-compatible LLM.

Enables natural language querying of Apache Iceberg lakehouse by exposing typed tools for namespace discovery, table metadata inspection, snapshot history, time travel SQL generation, and partition pruning explanation.

Exposes an Apache Ossie semantic model over MCP so AI agents can discover metrics, dimensions and relationships, then translate business-term questions into a single ClickHouse query. Also serves the generated SQL and model descriptions, letting agents validate and recover from mistakes without knowing ClickHouse specifics.

A Python server that enables AI assistants to perform hybrid search queries against Apache Solr indexes through the Model Context Protocol, combining keyword precision with vector-based semantic understanding.

Provides read-only access to Iceberg tables via Apache Impala, enabling LLMs to inspect database schemas and execute SQL queries on Iceberg data.