"Gcore" matching MCP servers:

Enables AI agents to hand high-level objectives to a decision-making core that autonomously reasons, plans, enforces deterministic policy, executes capabilities, evaluates outcomes, and persists semantic memory over stdio or Streamable HTTP.

Enables AI to dynamically discover and invoke any Cin7 Core API endpoint using three generic tools (list, describe, invoke) plus a bug-report tool, covering the entire API surface without predefined endpoints.

A server that provides data retrieval capabilities powered by Chroma embedding database, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, and metadata filtering.

Karma economy for AI agents and humans. Submit good actions, get community attestations, earn on-chain reputation. Karma-weighted verification, slashing, Kleros disputes. 5 MCP tools: submit_action, attest_action, get_karma, get_action_detail, get_leaderboard.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

This server enables agents to identify users and organizations, inspect versioned datasets and model lineage, start training jobs, run and read evaluations, verify deployments, and execute typed workflows through authenticated MCP endpoints.

An MCP server that exposes three tools to analyze call transcripts for business intelligence, score leads 0-100 with hot/warm/cold classification, and diagnose n8n workflow errors with root cause analysis and proposed fixes.

Deterministic decision engine with DAG-based receipts. Build entity graphs, query with MCP, get auditable proof.

Provides zero-knowledge, local-first persistent memory for AI assistants with on-device embeddings, cross-platform capture, and zero-RTT semantic recall.

Self-hosted MCP server for long-term memory in AI coding assistants, capturing decisions, conventions, and discoveries as structured traces with tag and keyword search.

Enables AI-driven interaction with CTERA Portal APIs for file and folder management through natural language or automation workflows.

Enables AI assistants to manage projects, tasks, sprints, time tracking, and more through GitScrum.

This MCP server enables natural language scoring with SAS Viya, allowing users to execute prebuilt SAS code, models, and job definitions seamlessly.

Model Context Protocol server for real-time 5G DDoS detection and response.

Enables AI agents to perform fused hybrid search and reorganize documents, folders, and metadata in the SAGA document archive via MCP tools.

A TypeScript framework for building MCP servers with declarative tool, resource, and prompt definitions, built-in auth, multi-backend storage, and observability.

MCP server for collaborative markdown editing, allowing agents to write documents and humans to comment, with comments fed back as agent input.

Enables AI agents with persistent, multi-layer memory, multi-agent collaboration rooms, and video generation, all accessible via MCP tools.

Enables AI agents to get read-only trust verdicts on knowledge records by evaluating evidence maturity, provenance, intended use, risk level, and scope before deciding whether knowledge may be used.

A 68-tool MCP server providing persistent memory, error tracking, decision logging, task orchestration, and multi-modal AI generation for coding agents like OpenCode and Claude Code.