"mcp-pcb-emcopilot" matching MCP servers:

A Model Context Protocol (MCP) server that provides access to the Protein Data Bank (PDB) - the worldwide repository of information about the 3D structures of proteins, nucleic acids, and complex assemblies.

An MCP server offering six strategies to filter and analyze Chinese convertible bonds, including dual-low, triple-low, YTM ranking, redemption monitoring, and revision analysis.

Exposes queryable GPU inference benchmark data (quantization, throughput, VRAM, concurrent users) as tools for LLM clients.

Enables agents to run zero-dependency statistical analysis natively over MCP, including Power Iteration PCA/SVD dimensionality reduction, Holt linear forecasting, modified Z-score and Tukey IQR anomaly detection, Welch's t-test, and multivariate gradient-descent regression on numerical data streams. Projects high-dimensional feature vectors into principal component representations without any external libraries.

An MCP server that computes Canadian adjusted cost base (ACB) and capital gains from trade history, including average-cost tracking and superficial-loss detection, returning structured JSON.

An MCP server that provides a toolbox for interacting with EPA SWMM stormwater models, enabling users to analyze model data and interpret results through LLM-driven tools. It assists stormwater modelers in understanding hydraulic systems and modeling behavior using natural language interfaces.

Enables agents to run statistics and data-science computations over numerical streams using only the Python standard library, including Z-score/IQR anomaly detection, Holt linear forecasting, Welch's t-test hypothesis evaluation, gradient-descent multivariate regression, and power-iteration SVD/PCA dimensionality reduction. Exposes these capabilities over JSON-RPC 2.0 stdio so clients like Claude Desktop, Cursor, and Windsurf can project high-dimensional feature vectors into principal components without any external dependencies.

Enables users to record probabilistic judgments in an immutable ledger, automatically score them against outcomes, and analyze systematic biases across six classification layers. It supports natural-language interaction for logging predictions, checking randomness, and auditing data integrity while avoiding advice or replacing user judgment.

An MCP server that enables academic research by searching Google Scholar, fetching paper content, and converting web pages to clean Markdown.

Enables AI agents to run comprehensive Chinese convertible bond analysis with 21 signal detectors, option pricing, and backtest reports.

Enables querying Statistics Sweden PxWeb data through tools for navigating subjects, retrieving table metadata, and pulling data using PxWeb query objects.

Enables querying and retrieving experimental protein structures from the RCSB Protein Data Bank, including text search, full entry records, polymer entities, ligands, and assemblies.