"Tata" matching MCP servers:

Enables coding agents to load and route reusable, file-defined thinking routines as checklists or staged procedures, injecting the relevant chains into prompts when a task matches.

I built this local stdio MCP adapter to discover, preview, and purchase live agent data APIs, including vendor risk, company intelligence, transaction preflight, and EVM reads. Free discovery and previews require no wallet. Optional paid calls settle in Base USDC through x402 v2; auto-pay is disabled by default.

Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.

Enables natural language interaction with complex computer vision workflows such as auto-labeling, class mapping, and embedding selection through an LLM-agnostic MCP orchestration layer.

Bridges Claude Desktop to the HOOPS AI WebAPI, enabling 3D CAD analysis and interactive model operations through natural language.

Enables users to trace regulatory rule changes to affected parties and required actions through deterministic safety gates, returning dated action plans and hash-linked evidence records. Supports 12 MCP tools over stdio or streamable HTTP for source comparison, obligation decomposition, scope assessment, planning, and evidence validation across multiple domain packs.

Enables autonomous data quality inspection and repair workflows. It scans DuckDB warehouses for anomalies, generates and verifies fixes in a dry-run copy, then applies them after validation, with full audit logging.

MCP server for cleaning messy CSV data via a single clean_csv tool. Uses an agentic workflow with rule-based or LLM planners to transform data safely.

Transforms high-level business intents into structured Data Product Requirement Prompts through AI-powered conversational refinement. Guides users through clarifying questions to gather comprehensive requirements for automated Business Intelligence dashboard generation.

Enables autonomous agents to compute and atomically apply minimal JSON Patch (RFC 6902) operational diffs for structured data state synchronization. Runs as a zero-dependency Python MCP server supporting deterministic patching, caching, and rate-limiting workflows.

Enables AI clients to automatically investigate dbt test failures, trace root cause through BigQuery lineage, and generate plain-English incident reports.

Enables secure, privacy-first SQL database interaction via natural language, using local LLM and PostgreSQL with dynamic tool-calling.

An AI platform that automates the complete machine learning workflow using LangGraph agents and integrates with MCP servers for file, compute, and database operations.

Enables secure, read-only analytical querying of financial data through natural language, with built-in SQL injection defense and automatic query repair.

Open-source autonomous agent swarm of 15 MCP-native AI agents for data engineering — catalog, quality, incidents, schema evolution, governance, migration, observability, ML. 212+ tools, Apache 2.0. Works with Claude Code, Cursor, ChatGPT, and any MCP client.

This server enables multi-agent conversations for interacting with Cirro's biological data platform through its OpenAPI interface, auto-generated using AG2's MCP builder.