"Gcore" matching MCP servers:

Scans websites to evaluate agent-readiness and produce an ASO Score Report across 34 signals, helping improve discoverability, trust, and interoperability for AI agents.

MCP server that compresses LLM responses into caveman-style prose, reducing token usage by ~65% while maintaining technical accuracy.

A persistent memory MCP server for AI assistants, storing and retrieving notes using local JSONL files with BM25 search.

Provides coding agents with file inventory, ranked search, location-aware reading, code packing, and note writing over the workspace folder through MCP, without involving a model.

Enables AI assistants to interact with DBT (Data Build Tool) projects, allowing them to query project metadata, inspect models and sources, view compiled SQL, and run DBT commands.

Local-first operator MCP server: recall across your own sessions, chats and files, an encrypted vault, SSH to your own hosts, and gated shell, browser and device tools. 130 tools over stdio or HTTP; everything runs on your machine — no hosted service, no account, no API key.

Shared, code-grounded memory for developers and their coding agents. Capture a learning once and the whole team plus every agent recalls it; memory is grounded in your code and stored as git-tracked JSON reviewed in PRs, with citations validated on write and stale memory withheld from recall. Works with any MCP client.

Enables AI agents to perform exact, reproducible mechanical computation — text diffing, hashing, JSON querying, calendar arithmetic, deadline-bounded regex extraction, CSV parsing, similarity scoring, unit and base conversion — instead of relying on probabilistic guessing. Runs dependency-free, read-only and offline over stdio, with schema validation and hard caps on every operation so no call can hang the client.

Enables AI agents to resolve and cross-reference biological entities such as genes, proteins, and aliases across authoritative databases like HGNC, NCBI Entrez, and UniProt, with confidence scores and source citations.

MCP server providing structured continuity memory for AI coding agents, tracking decisions, open loops, and session state in local SQLite. Enables agents to resume work from verified state across sessions without replaying transcripts.

Experimental Python MCP server exposing traceguard_shield_exec to evaluate proposed tool calls through an authorization hook. Returns approval or rejection messages over stdio; it does not execute the requested tools.

Local one-shot YAML/JSON agent workflow CLI with tools, approvals, and resume, plus an optional stdio MCP server. Apache-2.0, BYOK.

Independent MCP server for tracking food inventory, estimating best-before dates, managing consumption, and returning expiry reminders to MCP clients.

MCP server that lets AI agents (Claude, Cursor) debug your .NET / ASP.NET Core app

Implicit is the experience layer for AI agents. Bounded local stdio MCP for synthetic experience addressing, selective state materialization, provenance, benchmarking, and adapter validation.

Enables scoring a local markdown documentation file out of 100 across categories like title, install, usage, license, badges, structure, and relative link resolution, with letter grades and a concrete list of fixes. It works on local files only, providing a heuristic checklist of documentation completeness rather than judging code quality, security, or SEO.

Enables collecting real Yandex Wordstat v2 data and running managed semantic-core research workflows, including query frequencies, regional demand, dynamics, and AI-assisted cleaning, intent labeling, clustering, and reporting.

Run local AI across all your computers. Toskar's MCP server lets Claude, Cursor, and other clients ask your own local models and search your connected knowledge, with nothing leaving your machines.

Enables owner-approved task brief creation, all-in quote normalization, mandate-based hire eligibility checks, scope-by-scope completion verification, and record-bound review drafting for gig marketplaces, with append-only receipts.

Enables AI agents and MCP clients to perform 3D asset creation and verification: exact b-rep CAD, GLB validation with embedded certificates, mesh inspection, and physics scenes, with most tools running without Blender.