"Acer" matching MCP servers:

Enables searching and browsing the Ace Achievers course catalog and question bank with tiered hint reveals.

Enables AI agents to execute server-side JavaScript and perform CRUD operations directly on ServiceNow instances with context bloat reduction features for efficient token usage.

Enables search and discourse analysis over Xi Jinping's publicly available speeches and official statements, including full-text retrieval, phrase-trend tracking, and verbatim quotes with source-linked citations.

Provides code repository indexing and semantic search capabilities, allowing natural language queries to find relevant code snippets with automatic incremental indexing and multi-language support.

Exposes ACR's memory, skill, web, and GitHub search tools to any MCP client, enabling task execution and tool access via the MCP protocol.

Enables deploying a secure MCP gateway that proxies, sandboxes, and policy-governs third-party MCP servers, with credential vaulting and audited tool access across stdio, SSE, and Streamable HTTP.

Implements Agentic Context Engineering to create self-improving AI coding assistants that learn from execution feedback and build persistent knowledge playbooks. Reduces token usage by 86.9% while improving code accuracy by 10.6% through incremental context updates.

Persistent, local-first memory for your AI chats. Save context in one chat, load it in another — across Claude web, Claude Code, Cursor, Cline, and Claude Desktop. One store, on your own disk, reachable from every tool via MCP, CLI, REST, or SDK.

Enables Claude to ask questions about your fleet data via the Geotab ACE AI service, with support for multi-account authentication, async queries, and DuckDB caching for large datasets.

Demo MCP server for ACEL, a runtime verification middleware that blocks a rule-violating tool call before it executes. 5 tools (authenticate, read/validate/delete records, send payment) showing ACEL enforcing call ordering and state preconditions live via the official MCP SDK's middleware hook.

* analyze your react projects locally * consistent output w/ AST parsing + AI * create markdown docs, llm.txt for your react code at once

Interaction profile registry for AI agents. Log interactions to build a behavioral profile, query it through lenses: friction, coverage, stable corridors, failure registry, and trend. 21 tools.

Enables AI clients to perform local code search, indexing, and analysis across Java, JavaScript/TypeScript, .NET/C#, and Python projects through the MCP protocol.

MCP server that helps software teams track and understand technical debt, recurring issues, project dependencies, and real-time agent handoffs through a causal knowledge graph.

This MCP server provides tools to interact with the Pacer API for portfolio management, performance metrics, and PMS integration, but it is now retired and users should switch to the in-process Pacer MCP connector.

MCP server that integrates local LLMs (via Ollama) with SolidWorks through its COM API, enabling read-only inspection of features, dimensions, equations, mass properties, and file exports. It supports models like Qwen3 and plans future expansion to editing and generation.

Unified MCP tool gateway for agents to access WebPilot browser tools and other backend capabilities via an Electron tray application.