"Bank of America" matching MCP servers:

Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with example implementations of tools (calculator, greeting) and resources (server info).

A simple implementation of a Model Context Protocol server that demonstrates core functionality including mathematical tools (add, subtract) and personalized greeting resources.

Enables authenticated clients to retrieve problem information and optimization hints, manage source revisions and custom data, and submit or query Ascend C/NPU evaluation tasks.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with example implementations of calculator and greeting tools plus resource management capabilities.

A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.

MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution

MCP server exposing SLAC (Simple Logic & Arithmetic Compiler) as tools for LLM agents, enabling evaluation of expressions and retrieval of syntax reference.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with examples of tools (calculator, greeting) and resources (server info).

A boilerplate project for quickly developing Model Context Protocol servers using TypeScript SDK, with example implementations of calculator tools, greeting functionality, and resource management.

A sample implementation of Model Context Protocol server demonstrating core functionality with simple arithmetic tools and greeting resources.

A Python-based implementation of the Model Context Protocol that enables communication between a model context management server and client through a request-response architecture.

A server implementation of the Model Context Protocol (MCP) that provides REST API endpoints for managing and interacting with MCP resources.

Provides a tool to count occurrences of specific characters in text, serving as a simple example of building MCP servers with FastMCP and Python.

Enables deployment of MCP servers on Cloudflare Workers with OAuth authentication and remote connectivity. Provides a template for creating cloud-hosted MCP servers that can be accessed by Claude Desktop and other MCP clients over HTTP/SSE.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with example implementations of calculator tools, greeting functions, and resource management.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with example implementations of tools (calculator, greeting) and resources (server info).

An MCP Server that enables users to interact with Google's On-Demand Scanning API (v1beta1) through natural language, likely providing capabilities for vulnerability scanning and security analysis of containers and artifacts.

An MCP server that enables LLMs to count occurrences of specific letters within words, created as a learning example for the Model Context Protocol.

An MCP server that provides a real debugger via the Debug Adapter Protocol, exposing a single 'debug' tool to launch/attach, control execution, and inspect program state across gdb, lldb, debugpy, and more.