MCP Server Registry

Persistent, local memory for developers and their coding agents. Records commands, output, errors, and the fixes that worked into SQLite and serves them over MCP.

Manage Kubernetes clusters, deployments, databases, secrets and observability on Mengi Cloud.

Menjometre is an independent observatory of Catalan public spending. This MCP server gives any LLM client read-only access to the full dataset and the statistical scoring layer built on top of it. ## Coverage - **~19.5 M** grant records from the Registre d'Ajuts i Subvencions de Catalunya (RAISC), 2016–present - **~1.7 M** public procurement contracts from Dades Obertes de Catalunya - **~496 K** beneficiary entities with normalised identities - A **public-figure graph** linking Parlament deputies, Generalitat officials, and the boards of publicly-funded entities - The **Menjometre score** — a statistical indicator flagging concentration and recurrence patterns in public spending ## What the 48 tools cover | Domain | What you can ask | |---|---| | `entities` | Search, profile, network, activity timeline for any funded organisation | | `grants` | RAISC lookups, concentration analysis, purpose trees, year-over-year trends | | `contractes` | Procurement lookups, sole-source detection, fragmentation patterns | | `organs` | Granting-body rankings and profiles | | `xarxa` | Public-figure graph, shortest path between two people, cluster investigation | | `pressupostos` | Generalitat budget surface | | `meta` | Methodology, scoring explanation, upstream attribution manifest | ## Example prompts - *"Which ten Catalan entities received the most RAISC funds in 2024?"* - *"Show me the concentration profile of the entity with CIF A08000143."* - *"Which grant-giving bodies award the largest share of their budget to a single beneficiary?"* - *"What percentage of Ajuntament de Girona's contracts are sole-source?"* - *"Explain how the Menjometre score is computed."* ## Response envelope Every tool response ships with four things: 1. **Attribution** — a `sources` array citing the upstream dataset, licence (CC-BY-4.0 / Llei 37/2007), and publisher 2. **Scope predicate** — personal-data filters enforced at the database query, not client-side 3. **Framing** — scored responses embed a `score_meta` block with a `not_an_accusation` disclaimer and a link to the methodology page 4. **Neutral statistical language** — the server returns "top decile", "around the median", never accusatory framing Safe for journalism, academic research, and civic-tech tooling. ## Install via npm ```json { "mcpServers": { "menjometre": { "command": "npx", "args": ["-y", "menjometre-mcp"] } } } Also reachable directly over Streamable HTTP at https://www.menjometre.cat/mcp.

MCP server for MenteDB, persistent memory for AI agents

A Model Context Protocol server providing LLM Agents a second opinion via AI-powered Deepseek-Reasoning R1 mentorship capabilities, including code review, design critique, writing feedback, and idea brainstorming through the Deepseek API.

Metabase MCP server provides integration with the Metabase API, enabling LLM with MCP capabilites to directly interact with your analytics data, this server acts as a bridge between your analytics platform and conversational AI.

MCP server giving AI agents persistent SQLite memory that proves which lessons hold.

Spec-first code generation: OpenAPI, GraphQL, Protobuf, and SQL to typed clients in 11 languages.

🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated sandbox).

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

Search 18,900+ Michelin Guide restaurants worldwide with multi-criteria filtering and SQLite FTS5.

Read and edit Microsoft Access databases (.accdb/.mdb) - forms, VBA, tables, queries. Windows.

PostgreSQL MCP server for AI assistants over the Model Context Protocol.

Read-only MCP for Microsoft SQL Server: metadata discovery, parameterized SELECT, plans.

Securely integrates with Microsoft SQL Server databases for data analysis, reporting, and management.

Self-hosted Microsoft To Do with SQLite workaround for personal account list limitations.

Safe-by-default SQL guardrails for AI agents: AST-checked queries, per-table policy, audit log.

Local-first bridge: export your own Mi Fitness (Xiaomi) health data to SQLite/JSON/CSV and MCP.

Extracts database schema from PostgreSQL migration files by running them in temporary containers and outputting human-readable schema information or SQL DDL, enabling developers to understand final database structure without manually tracking changes across multiple migration files.

AI-powered database migration. Analyze schemas, generate SQL, calculate risks.

MCP server for MySQL.

An MCP server with Mimer SQL Database Connectivity

Persistent memory for AI coding agents that stores and retrieves atomic learnings across sessions using semantic search and SQLite.

Semantic search over MINDSET's brand strategy topic database, plus its system prompt.