"Agentic Wallet Guardian" matching MCP servers:

Enables MCP clients to search and inspect a catalog of 125 commerce, inventory, and data skills, invoke them with explicit spending limits, and check wallet balances and receipts.

Provides secure, agentic Excel analysis and calculation capabilities, enabling users to inspect workbook structure, perform statistical computations, write formulas, and generate outputs through whitelisted MCP tools with audit trails and backups.

Enables access to ForexFactory economic calendar data through MCP resources and tools. Supports retrieving economic events by time periods for integration with trading assistants and agentic workflows.

Read-only MCP server for ZenMoney that syncs financial data into memory and exposes it through tools and resources, enabling agentic analysis of transactions and spending patterns.

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

Provides MCP clients with 60+ APIs for B2B data enrichment, lead generation, email verification, company intelligence, and agentic GTM workflows.

GenPark MCP server for normalizing and translating structured data schemas.

Drives Lumen's data-to-SQL-to-chart-to-report loop from any MCP client, supporting keyless SQL and charting or keyed agentic data analysis.

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.

Enables parsing of structured receipts, invoices, and bank statements and tolerance-based three-way reconciliation that detects tax calculation drift and duplicate claims, then synthesizes balanced double-entry bookkeeping journal entries. Exposes these capabilities as MCP tools (initialize, tools/list, tools/call) over a dependency-free JSON-RPC 2.0 stdio server.

Exposes an agentic AutoML pipeline as a callable tool so any MCP client can upload a CSV and natural language goal and receive a full ML analysis report with SHAP visualizations. Enables autonomous problem understanding, data cleaning, feature engineering, model training, and explainability through a single remote tool call.

Enables dynamic format selection (JSON, Parquet, Arrow IPC) for MCP tool outputs, with a Java Spring Boot server and Python client for agentic data systems.

Enables agentic LLMs to interact with the Rapid Platform API, supporting list operations, CRUD items, and webhook creation.

AstroFabric is agentic AI for business intelligence. Autonomous AI agents identify the companies, find and verify the people, attach the buying signals, score the fit and deliver finished lists and audiences into the CRM, outreach tools and ad accounts your team already runs. Every workflow carries evidence, approval gates and credit ceilings.

Enables local, read-only product-data checks for reviewing product records, comparing feed snapshots, and comparing dimensions against source rules, returning match or hold decisions without fetching references or modifying feeds.

Enables local offline machine learning workflows, including CSV profiling and cleaning, classifier and neural network training, hyperparameter optimization, evaluation metrics, confusion matrix plots, Streamlit dashboards, and HTML reports through MCP tools.