"Answer" matching MCP servers:

Search, filter, and sample over a million competition and olympiad math problems (AMC, AIME, IMO, Putnam, MATH, Omni-MATH) by topic, contest, year, and difficulty, and fetch any problem's LaTeX statement with its answer, hints, and solutions where available.

Enables AI agents to answer analytical questions about an online store's SQLite database through specialized read-only tools, without any risk of modifying the underlying data.

Lets AI assistants like Cursor and Claude safely explore your database and answer questions about your data in plain English.

An MCP server that exposes a dbt project's run state as tools, enabling AI assistants to answer questions like 'is the warehouse healthy?' or 'what broke and why?' via plain English, using read-only access to dbt artifacts and warehouse data.

A read-only Model Context Protocol server over Google BigQuery that lets AI clients answer plain-language data questions by discovering schemas, inspecting table freshness and code assets, and running validated SELECT queries under the user's own Google credentials.

Enables users to answer California drinking water questions about public water systems, SAFER risk/violation status, source-water chemistry, school lead sampling, and latest tap/treated-water results by ZIP code or water system ID, using curated Databricks Gold views over State Water Board open data.

Answers natural-language questions against Postgres, Oracle, Snowflake, Databricks, DuckDB and SQLite via db_read(question) and get_schema(), each separately grantable. The model only proposes SQL — shape, access, dialect and query plan are checked deterministically before any rows are read, and the server refuses rather than returning an unverified answer.

Enables Claude to answer business questions about stock, orders, customer balances, overdue orders and KPIs from live ERP data using fixed, parameterized read-only queries, with bounded results and every call logged to an audit trail.

Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.

A read-only MCP server that lets AI agents run safe, specialized analytics over an internet shop's SQLite database, covering customers, products, orders, and revenue. It exposes no generic SQL or write tools, so agents can answer questions without modifying data.

Enables querying OpenObserve logs—listing streams, inspecting schemas, and running SearchSQL time-windowed searches—so you can answer what actually happened in production. Optionally correlates those logs against a database through a verified read-only connection via DbSchema and DbQuery tools.

Enables LLMs to answer small business finance questions about spending, sales trends, cash flow projections, and profitability using a local SQLite database.

Enables an LLM to answer questions about Colombian public procurement from the SECOP II electronic contracts open dataset on datos.gov.co, with typed queries that are built into SoQL by the server. A column allowlist and local entity directory keep personal-data fields unreachable and resolve institution names to NITs, so users get aggregate contract figures without writing queries themselves.

Enables asking natural-language questions about three published data builds (housing, flights, and a fictional bank), with the agent finding tables, writing SQL, and re-verifying every number against the warehouse before returning an answer.

A Model Context Protocol server that lets LLM clients answer business questions in natural language over a Databricks dataset without writing SQL by hand.

This MCP server gives AI assistants over business data a provenance layer: every number in an answer traces back to specific records, auditable and tamper-evident. It enforces that the model never generates figures—only selects operations whose results are computed deterministically in SQL.

A read-only Model Context Protocol server that lets an AI agent answer questions about unit balances, overdue fees and common-area bookings for the signed-in user. Row Level Security and a read-only database role scope every answer to that person's building and unit, so staff, residents and other tenants see only what they are allowed to see.

A private location archive with an MCP server, letting an agent answer questions about your past stays, trips, cities, and travel stats from data in your own Postgres.

Enables AI assistants to interact with 3DCityDB v5 through natural language, dynamically resolving object classes, properties, and codelists to answer spatial questions and execute SQL queries on CityGML data.

Enables an AI client to search Australian federal and South Australian government open data catalogues, inspect a dataset file's schema and sample rows, then run read-only SQL over the full file in a sandboxed DuckDB. Every answer carries the source URL, publisher and licence, with extra tools for ABN checksum validation and Australian financial-year dates.