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mcp

mcp is an MCP server, listed under model apis. It reaches fastmcp, gemini and openai. It needs DB_PASSWORD, DB_SSL_KEY, FASTMCP_SERVER_AUTH_GITHUB_CLIENT_SECRET, FASTMCP_SERVER_AUTH_GOOGLE_CLIENT_SECRET, GEMINI_API_KEY and OPENAI_API_KEY to authenticate. Its repository has 209 GitHub stars and is licensed under MIT; we last read it on 2026-10-22.

Implements the Model Context Protocol for MariaDB, connecting to MariaDB servers.

Install

MCP servers are packaged differently from each other -- some run via npx, some as a Docker image, some as a plain script you clone and run. mcp’s own README did not state one plainly enough for this page to quote it rather than guess, so it will not guess. The repository below states it.

What it reaches, and what it needs

Reaches
fastmcp, gemini, openai
Credential
DB_PASSWORD, DB_SSL_KEY, FASTMCP_SERVER_AUTH_GITHUB_CLIENT_SECRET, FASTMCP_SERVER_AUTH_GOOGLE_CLIENT_SECRET, GEMINI_API_KEY, OPENAI_API_KEY

Maintenance

Stars
209
State
listed
Licence
MIT
From the repository

MariaDB MCP (Model Context Protocol) server implementation

What mcp can do

11 tools documented in its README. An AI client calls these by name.

list_databases
No description in the README.
list_tables
No description in the README.
get_table_schema
No description in the README.
get_table_schema_with_relations
No description in the README.
execute_sql
No description in the README.
create_database
No description in the README.
create_vector_store
Creates a new vector store (table) for embeddings.
delete_vector_store
Deletes a vector store (table).
list_vector_stores
Lists all vector stores in a database.
insert_docs_vector_store
Batch inserts documents (and optional metadata) into a vector store.
search_vector_store
Performs semantic search for similar documents using embeddings.

Read from the README; names are kept only if the README contains them.

mcp compared with similar servers

mcp compared with the closest alternatives, by services reached, credentials, stars, last update and licence
ServerReachesNeedsStarsLast updateLicence
mcp (this page)fastmcp, gemini, openaiDB_PASSWORD, DB_SSL_KEY, FASTMCP_SERVER_AUTH_GITHUB_CLIENT_SECRET, FASTMCP_SERVER_AUTH_GOOGLE_CLIENT_SECRET, GEMINI_API_KEY, OPENAI_API_KEY2092026-08-10MIT
just-promptanthropic, deepseek, gemini, groq, openai(2 shared)ANTHROPIC_API_KEY, DEEPSEEK_API_KEY, GEMINI_API_KEY, GROQ_API_KEY, OPENAI_API_KEY7392025-08-10—
mcp-imagegemini, openai(2 shared)GEMINI_API_KEY1812026-10-22MIT
schemagateanthropic, entra, gemini, mysql, openai, postgres, schemagate(2 shared)ANTHROPIC_API_KEY, ENTRA_CLIENT_SECRET, GEMINI_API_KEY, OPENAI_API_KEY, SCHEMAGATE_AUDIT_SIGNING_KEY1052026-10-22Apache-2.0
brainstorm-mcpdeepseek, gemini, openai(2 shared)DEEPSEEK_API_KEY, GEMINI_API_KEY, OPENAI_API_KEY712026-09-29MIT
cross-llm-mcpanthropic, deepseek, gemini, huggingface, kimi, mistral, openai(2 shared)ANTHROPIC_API_KEY, DEEPSEEK_API_KEY, GEMINI_API_KEY, HF_TOKEN, HUGGINGFACE_API_KEY, KIMI_API_KEY, MISTRAL_API_KEY, OPENAI_API_KEY162026-10-15MIT

Ranked by services in common with mcp, then by stars. Figures are from each repository when we last read it.

Common questions about mcp

What does mcp do?
Implements the Model Context Protocol for MariaDB, connecting to MariaDB servers.
How do I install mcp?
Its README did not state an install command plainly enough for us to quote one, so we do not guess. The repository has the instructions: https://github.com/MariaDB/mcp
What does mcp connect to, and what does it need?
It reaches fastmcp, gemini and openai. The credentials we found in its source are DB_PASSWORD, DB_SSL_KEY, FASTMCP_SERVER_AUTH_GITHUB_CLIENT_SECRET, FASTMCP_SERVER_AUTH_GOOGLE_CLIENT_SECRET, GEMINI_API_KEY and OPENAI_API_KEY.
Is mcp official and is it maintained?
We found nothing naming it as a vendor’s official server. Its repository has 209 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-08-10.
What licence does mcp use?
The repository declares the MIT licence.

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