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"GPT-SoVITS MCP (Model Context Protocol) Integration" matching MCP connectors:

GET /v1/connectors – MCP directory API reference

Matching Connector Tools:

  • Official Mifori Agent Trust Protocol. Performs real-time latency, JSON schema compliance, and synthetic IQ audits on target AI bots using x402 USDC micro-payments on Base network before high-value tool execution.

  • Enhanciar is a company brain for engineering teams. It ingests your GitHub repos, Slack, Notion, Google Docs, Jira/Linear and PDFs into a cited wiki and knowledge graph, and answers questions from any MCP client with every claim linked to the source line, message or page. Tools: query (cited Q&A), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (blast radius of changing a file or function), list_repos, list_skills/get_skill, propose_action/list_proposed_actions (draft Jira/Linear/Slack/calendar actions for human approval). BYOK — bring your own model key. Early access: join the waitlist at https://enhanciar.in and create an API key in Settings.

  • Machine-exclusive web distillation MCP server for AI agents. Deterministically strips 85-97% of HTML/DOM/JS/CSS token bloat into clean Markdown, structured JSON tables/JSON-LD, <200-token structural skeletons, or BM25 budget-capped context with native HTTP 402 (x402 Base USDC & L402) micropayments.

  • Engram is a persistent, long-term memory layer for AI agents and assistants. Claude, ChatGPT, Grok, Cursor and any MCP client share one memory, stored as plain markdown notes: your knowledge base, second brain and AI context in one place. No extraction step: the memory is the note itself, so you can read exactly what your AI remembers and fix it. Edit your memory in Obsidian (real-time sync), the web app, or on your phone. Hybrid keyword + semantic search (RAG over your notes) finds exact strings like error messages, config keys and IDs. Remote MCP server over Streamable HTTP with OAuth 2.1; notes encrypted at rest. Https://engram.page https://youtu.be/rwnPeZ-8Lqo?is=NI-N7BduydGAiZlF https://github.com/engram-app/Engram

  • Enterprise-grade L402 data vending engine and cryptographic notary hub for autonomous AI swarms. This engine provides the required "State-Anchored AI" data layer for EU AI Act Article 12 compliance, delivering cryptographically verifiable chain-of-custody for agent decisions without human intervention. Key Enterprise Capabilities: • EU AI Act Compliance Notary: Intercepts high-frequency agent ReAct loops and anchors cryptographic execution traces to the Bitcoin base layer via OpenTimestamps. • Autonomous Proof-of-Execution Escrow Oracle: Machine-native conditional micro-settlement for agent-to-agent delegation. Locks task bounties and validates RFC 6962 Merkle execution leaves before releasing payment preimages and collecting an automated 21-sat protocol toll. • Swarm Flight Recorder (Zero-Knowledge): Compresses thousands of agent thoughts into a single Merkle root. Enables selective-disclosure audit proofs to protect proprietary corporate IP and PII during regulatory reviews. • Inter-Swarm B2B Settlement: Provides a neutral, trustless settlement layer for competing corporate agents to negotiate, mutually sign, and notarize cross-enterprise contracts. • L402 Lightning Micropayments: Programmatic pay-per-query settlement in satoshis with zero API key requirements. Agents autonomously pay for their own notarization via X-L402-Batch-Size macroeconomic bundling. • Real-Time Data Grounding: Streams thermodynamic Bitcoin telemetry, Groth16 ZK-SNARK verification, and Nostr event attestation to prevent agent hallucination in financial contexts. Dual-licensed under AGPLv3 and Commercial Enterprise terms. Architected by Charles R. Strogish. Protocol Endpoints • GET /api/v1/cost — Pre-flight L402 pricing, dynamic tier discovery, and settlement asset options. • GET /api/v1/stratigraphy — Nostr-signed thermodynamic Bitcoin dataset. • GET /api/v1/stratigraphy/stream — Real-time telemetry event stream.

  • Savvly MCP: query fund data, model projections, and compare against alternative retirement products.

  • Agent utilities: read big pages without filling context, exact math, dates, parsing. Free.

  • Financial market context for AI agents: macro, rates, bonds, FX, commodities, companies and Bitcoin.

  • Fuzzbucket is an AI-native creative workspace that enables AI agents to generate on-brand images, videos, audio, and marketing copy. Connect your brands, access persistent brand context, manage creative assets, and execute marketing workflows directly from AI assistants through MCP. Fuzzbucket helps agents turn ideas into consistent, production-ready marketing content without starting from scratch.

  • FX macro context: CPI, NFP, PCE, ISM PMIs, Fed, ECB, BoE, BoJ, historical analogs, FX reactions.

  • XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs

  • Getting Things Done (GTD) board for AI agents: capture to Inbox, next actions by context, projects, waiting-for, someday/maybe. Remote Streamable HTTP server with OAuth 2.1 login (passwordless email code). 16 tools + 4 prompts. Setup guide: https://gtdbrain.com/connect?source=glama

  • Search open models, read license labels, and get hosted file links and SHA-256 hashes. Search Hugging Bay for model records, license labels, hosted-file availability and recorded SHA-256 hashes. Use it to shortlist local model files by task and an estimated RAM or VRAM budget, then inspect exact files before downloading. Connect to https://huggingbay.xyz/api/mcp over Streamable HTTP; public reads need no key or account. The hosted server also has a public Agent Board and tools to request missing models or features, with user consent for public posts and no promise of delivery. The npm package hugging-bay-mcp@0.1.6 has a smaller 16-tool stdio set without those request tools. Fit is an estimate; a SHA-256 match does not prove successful execution, safety or license permission.

  • HefestoAI checks AI-generated code before you ship it.

  • Behind Check and GAIP Watch, and Diagnose: A2A, MCP and OpenAPI checks with a dated change log.

  • Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.

  • Discover flat-rate DeepSeek plans, model limits, API-key instructions, and coding-client setup.

  • Evidence-backed DeFi yield data for AI assistants: market summaries by chain or protocol, pool detail with base vs reward-token APY, 90-day history and side-by-side comparisons for ~17,000 pools on 100+ chains. Every number dated; unknowns stay unknown. Read-only: no wallets, signing or transactions. No sign-in needed. Docs: https://web3juice.com/mcp

  • Multi-LLM entity enrichment: schemas, single/batch enrichment, fusion, model benchmarks.

  • Review supplied evidence of actor identity, principal authorization, tool scope and intended action before an agent acts. Returns missing evidence and review guidance; enforcement belongs to the caller integration. Two MCP-native free trial attempts per network for the campaign, shared daily capacity. No action authorization or identity certification.