"Open Collective" matching MCP servers:

MCP server for read-only access to bank accounts via Open Banking (DSP2/AIS). It retrieves balances, transactions, and forecasts upcoming debits to prevent overdrafts, with optional daily Todoist briefs.

An MCP server that exposes Akahu (New Zealand open-banking) data to LLM agents, allowing them to list bank accounts, inspect investment holdings, and pull transactions for analysis.

An open-source MCP server that connects to various data sources (SQL databases, CSV, Parquet files), allowing AI models to execute SQL queries and generate data visualizations for analytics and business intelligence.

Enables comparison of supplied supplier or vendor statement open items against an accounts payable ledger, identifying missing items, amount and date discrepancies, and ambiguous repeated references with exact reference evidence.

Enables AI assistants to validate, lint, explain, and test-run Open Lakehouse Contracts locally over stdio, with no network, account, or platform access.

Open-source agentic schema layer. Define metrics once in YAML, query governed data from any warehouse (Snowflake, BigQuery, Databricks, PostgreSQL, DuckDB) via MCP.

Read-only MCP server for FP&A & management reporting — governed metrics, financial statements and drill-down over a SQL semantic layer. Your own financials on your own warehouse, not market data. Open core of Précis. (metric engine · ClickHouse · OIDC · Docker)

Enables MCP clients to read MetaTrader 4 and 5 account data, including balances, open positions, closed trades, quotes, symbol specifications, and price history, without placing, modifying, or closing orders.

Enables an AI assistant to build Power BI projects end to end: data modeling (tables, DAX measures, relationships, calculation groups, roles, field parameters) against an open Power BI Desktop via TOM/XMLA, and reports (pages, visuals, formatting, bookmarks, themes) as PBIR files in a .pbip project. Every visual is cross-checked against the real model before being written, so generated dashboards don't break on open.

Enables querying open Power BI Desktop models locally, including discovering instances, listing tables and measures, and running DAX queries without cloud login or publishing.

The complete open-source SEO data stack for AI agents, integrating Google Search Console, Google Analytics 4, Bing Webmaster Tools, and Microsoft Clarity with built-in analyst tools like cannibalization check, low-hanging fruit, and content gap analysis, all self-hosted and free.

Enables Alexa+ to answer conversational weather queries by retrieving current conditions, forecasts, alerts, and historical data from Open-Meteo, NWS, and simulated IoT sensors stored in SQLite.

Provides a unified interface to access UNHCR's open data across statistics, RDF, and IATI MCP servers, enabling aggregated queries, cross-domain analytics, and dataset discovery.

An open-source MCP server that imports HR CSV data into an in-memory SQLite database for structured querying and metadata retrieval. It enables users to perform read-only SQL queries and structured searches on employee data through natural language.

Sozio Business is a standalone local MCP server for combining private company data with 22,635 profiled Swiss open-data resources.

MCP server for personal finance via Open Finance, consolidating accounts and cards and answering spending questions with aggregated numbers. Provides tools for category spending, recurring subscriptions, budgets, card bills, and installment forecasts, with data stored locally in an encrypted SQLite database.

Connects external APIs like Open-Meteo and AgroMonitoring to your development environment through URI-like requests, allowing access to live data directly in MCP-compatible tools.

Enables users to connect their Nubank accounts to claude.ai through Open Finance for read-only, natural-language access to balances, statements, card spending, invoices, monthly summaries, recurring charges, and investments.

Enables agents to turn an invoice CSV into an accounts receivable aging report, showing open and overdue totals, aging buckets, and customers ranked by who to chase first. It also inspects CSV columns and row counts without exposing row contents.

Queries Tako to retrieve real-time data and generate visualizations from search queries, uploaded files, or datasets, returning embeddable charts with metadata.

An MCP server for Apache Superset that enables AI models to manage dashboards, create charts with auto-detection, and execute SQL queries programmatically. It utilizes stateless HTTP transport to ensure compatibility with integration tools like Open WebUI.

An open-source MCP server that aggregates Taiwan public data sources (data.gov.tw, TWSE, MOEA, CWA, etc.) and exposes them through the Model Context Protocol, enabling AI agents to query Taiwan data with a single configuration line.

Enables Qloo-compatible REST and MCP access that fills missing music-artist data from open sources, adding sourced values and stand-ins while passing through existing Qloo results unchanged.

Enables AI agents to seal, open, verify, and ingest verifiable agri-traceability data by description, with credentials and private keys kept out of the model's flow.

Connects AI coding assistants like Claude Code, Cursor, and Windsurf to enterprise data sources (databases, files, APIs, etc.) via a single binary, with 45+ connector categories and built-in memory tools.

An open-source financial data server that exposes MCP tools and HTTP endpoints for A-share, US equity, ETF, index, and crypto market data, technical indicators, fundamentals, money flow, news, and filings. It enables AI agents and backends to query multi-source market data, run analysis, and export CSV/JSON for code-execution workflows.

Syncs bank data from Pluggy to Postgres and provides MCP tools to answer natural-language questions about spending, budgets, transactions, and categorization rules.

Enables converting PDFs and CSV/spreadsheet files into spreadsheets, extracting bank statement or receipt data into clean CSV, cleaning messy CSV, and generating client-ready reports through an open MCP endpoint.

Superhuman data-driven science. Allows agents to upload any tabular dataset, specify a target column, and get validated predictive patterns (with p-values, effect sizes, and context from literature) that surface feature interactions and subgroup effects you'd otherwise miss. Many discoveries already made, free for open data!

Lets an agent query JSON files too large for its context: JSONPath with aggregation pipes, schema, field profiles, samples, identity-keyed diff, CSV and spreadsheet export, and checks that gate a file. Int64 IDs and decimals keep their exact digits, and zstd, Base64-Zstd and PostgreSQL bytea payloads open directly.