"Semantic search, RAG, and memory systems" matching MCP servers:

A production-ready MCP agent that helps data teams define, validate, and visualize semantic metrics with enterprise-grade persistence, trust scoring, and BI integrations.

Enables data teams to define and validate metrics through conversation, inspect trust scores and lineage, and export definitions to Looker, Tableau, and dbt.

Connects Google Search Console to AI assistants, enabling SEO data analysis through natural language conversations.

Enables searching Google Scholar papers with year filtering, deduplication, and proxy support. Also provides paper detail retrieval, TF-IDF relevance analysis, and chart generation via MCP tools.

Google Search Console for Claude and other MCP clients. Sign in with Google in one click, then ask about clicks, queries, rankings and indexing, export every GSC report as CSV (beyond the 1,000-row UI limit), inspect URLs, submit sitemaps and verify sites. Includes a local SEO dashboard. Free, open source, runs on your computer.

Enables users to create, validate, view, and export system stock-and-flow maps from a versioned JSON model through MCP-capable hosts over local stdio or hosted Streamable HTTP. Supports causal-loop and nested-level mapping while keeping submitted model content with the caller and requiring no LLM provider key.

Enables Codex to control a Gephi 3D network view through natural language, including network generation, 3D layout, node focus and neighbor highlighting, layered views, and PNG/PDF export.

Integrates with Google Search Console to enable querying search analytics, comparing performance periods, generating visual reports, and identifying SEO optimization opportunities through natural language.

Options analytics an agent can drive: import a permitted chain, solve implied volatility, build a sixteen-Greek ladder, map dealer gamma walls, rank twenty-three structures, run a GARCH-t simulation with a convergence gate, and backtest with modelled premiums. Twelve stdio tools; every output is a schema-validated JSON file with source, assumptions and a degraded flag. Research only, no orders.

A read-only, cross-platform visualization layer for Cortex that renders memory, sessions, and code into six live reading angles (graph galaxy, 3D anatomical brain, execution trace, consolidation board, knowledge browser, and wiki) without ever writing a memory.

An MCP server that enables AI agents to compile, refine, and interlink knowledge into a persistent wiki, replacing RAG with structured, curated knowledge.

Connects to email inboxes via IMAP so Claude can search mail, extract receipts and invoices, and build categorized spending spreadsheets and offline dashboards. It also supports incremental sweeps and secure, read-only, in-memory credential handling.

Enables discovery of Fabric/Power BI workspaces and semantic models, execution of DAX queries, and generation of executive HTML reports with visualizations.

Enables read-only inspection of graph-shaped memories such as Obsidian vaults, Memory MCP files, or SQLite databases, allowing users to visualize, search, and trace the provenance and recall of an agent's knowledge.

Enables AI agents to work end-to-end with Power BI and Fabric through 26 high-level tools that orchestrate specialized engines for semantic modeling, report authoring, cloud operations, validation, and visualization UX.

Enables AI assistants to connect to YNAB budgets, providing tools for accounts, transactions, categories, payees, and analytics, including search, bulk operations, and delta sync.

Enables AI assistants to interact with inSCADA systems via the Model Context Protocol, providing 39 tools for live data, alarms, scripts, historical analysis, charts, and more.

Enables AI agents to author and edit Power BI files locally (.pbix/PBIP), covering semantic models, reports, and Power Query M with 490 tools.

Transforms markdown documents into immersive 3D visualizations using semantic analysis and spatial layout, enabling navigable knowledge structures.

Eleven local stdio MCP servers exposing a reproducible EPA SWMM stormwater-modelling workflow: model building, simulation with run manifests and continuity checks, calibration, GIS/QGIS, design storms and climate scenarios, uncertainty analysis, plotting, and modelling memory.

MCP server for semantic spreadsheet operations that lets LLMs create and edit Excel workbooks by describing spreadsheet intent.

Creates, inspects, validates, and modifies Power BI Project (.pbip) folders, generating PBIR-style reports and TMDL semantic models from structured inputs.

Local-first MCP server for Power BI Desktop automation. Automate semantic model changes, DAX, Power Query, Excel, and report layout from MCP-capable AI clients.

Provides advanced charting widgets (uPlot time series, ECharts box plots and parallel coordinates) for Urano Desktop/Cloud via MCP tools that build uiSpec JSON for rendering.

Give AI agents access to Formester form submissions. Read individual responses, search and filter across forms, write AI-generated insights back as custom fields, and process file attachments including PDFs and images.

A TypeScript/Node.js MCP server that wraps the Metabase REST API, enabling AI agents to execute queries, explore schemas, and build dashboards through structured tool calls.

Provides football analytics tools including player scouting, comparisons, market-value filters, expected-goals tables, match-by-match form, team attacking profiles, match search, shot maps, and more for 10 leagues.

Enables AI assistants to read and audit Tableau .twbx workbooks locally, providing tools for dependency tracing, field listing, SQL queries, filters, and semantic diffs.

Enables connecting to any SQL database, exploring schemas, running queries, and visualizing results with interactive charts from Claude Desktop.

A stateless MCP server that generates interactive report widgets and survey builder UIs, using MCP Apps for rich visualizations and long-polling for live updates.