Glama

Deliberation primitive for multi-agent coordination — agents submit positions, vote on a 5-point scale, and the server returns crux detection, vote clustering, bridging statements, and consensus. Inspired by Polis and Talk to the City.

Reliability intelligence for remote MCP servers. Agent-native discovery for 1,700+ servers with uptime monitoring and latency benchmarks.

A self-hosted MCP server that provides a single execute_code tool, enabling agents to write TypeScript to call multiple REST APIs via fetch() with transparent credential injection, reducing token usage by keeping intermediate results in the sandbox.

A unified browser automation protocol that connects AI agents to multiple automation backends including Selenium, Playwright, and Puppeteer. It provides a centralized interface for agents to navigate websites, execute JavaScript, and manage web interactions across various browser engines.

Local-first CLI and MCP server for redacting sensitive text before sharing logs, configs, and errors with AI tools.

An MCP server that enables AI agents to interact with QuickBooks Online accounts to manage invoices, customers, payments, and financial reports. It provides 20 tools to automate accounting workflows and retrieve financial data through natural language interfaces.

Enables creating a Contra-style game session that can be played inline in MCP-compatible clients or via a browser fallback URL.

Pay-per-use semantic memory for AI agents with cryptographic attestation. Vector embeddings with SHA256 commitment, secp256k1 signature, and Lightning invoice.

A Model Context Protocol server that provides cryptocurrency data tools and resources via an HTTP endpoint. It enables users to fetch real-time market data from Binance, track activity logs, and generate cryptocurrency executive summaries.

Enables natural language access to Zerodha trading accounts for retrieving portfolio holdings, positions, orders, funds, and real-time market prices. Supports secure authentication for Indian stock market trading operations via Claude, Cursor, and other MCP-compatible AI tools.

Enables AI agents to search restaurants, browse menus, and manage DoorDash carts through structured JSON data. It leverages a background browser to handle authentication and direct GraphQL API calls for efficient interaction.

eBPF-based GPU causal observability agent with MCP server. Traces CUDA Runtime and Driver APIs via kernel uprobes and host events via tracepoints to build causal chains explaining GPU latency. 7 tools: get_check, get_trace_stats, get_causal_chains, get_stacks, run_demo, get_test_report, run_sql. Telegraphic compression reduces token usage ~60%. Supports stdio and HTTPS (TLS 1.3) transport.

Enables developers to find personalized open-source contributions by analyzing GitHub profiles and matching them with relevant 'good first issues' and beginner-friendly repositories. Provides comprehensive contribution tooling including repository health scoring, setup difficulty assessment, impact estimation, and automated PR planning.

Indian stock market trading via Zerodha Kite Connect. 78 tools for order execution, portfolio analytics, options Greeks, paper trading, backtesting, technical indicators, price alerts with Telegram, and SEBI compliance. Multi-user OAuth with remote Streamable HTTP transport.

Accepts a coupling matrix (covariance, correlation, or precision) and returns zone classifications, optimal factorization strategy, and calibrated risk predictions. Answers: which variable dependencies are load-bearing and which can be safely ignored?

Demonstrates a complete MCP server implementation supporting both local Ollama models and remote API models. Enables LangChain applications to dynamically discover and invoke tools including addition calculations and model invocation capabilities.

ToolMesh is an Apache-2.0, self-hosted MCP gateway written in Go that sits between AI agents and backend systems. It enforces a fail-closed pipeline on every tool call, including per-tool and per-user authorization, server-side credential injection, structured audit logging, and output policies. APIs are declared in YAML with DADL, turning REST endpoints into MCP tools without writing a custom MCP

CoreModels MCP Server provides 16 tools for AI agents to manage graph-based data models, enabling creation, querying, and manipulation of entities, relations, and observations within structured knowledge graphs.

Debug, build, and manage Microsoft Power Automate cloud flows with AI agents. Get action-level error details, build flows from natural language, trigger and resubmit runs, and operate across multiple tenants. Requires a Flow Studio MCP subscription — get an API key at https://mcp.flowstudio.app

Provides on-demand access to AOSP and Jetpack source code to help AI understand Android framework internals. It features a hybrid architecture using Tree-sitter and LSP for precise code extraction, cross-file navigation, and local source indexing.