"IBM MCP Context Forge - Model Context Protocol Framework" matching MCP tools:

• generate_framework_analysisA

  jeda-aiA

  Runs a specific framework against a user's inputs and produces a full analysis: prose explanation + structured fields + a self-contained SVG visualisation. Powered by the Jeda.ai · Visual AI framework knowledge graph. ALWAYS call `recommend_framework` FIRST to obtain a valid framework_id -- it returns the exact namespaced slug to pass here. Framework ids are namespaced by category (e.g. SWOT = "cms_swot-analysis", Porter's 5 Forces = "cms_porters-five-forces"); a bare slug like "swot-analysis" will 404. REQUIRED post-processing on success: the response's first text block contains a `curl -fsSL` save-directive for the SVG. Save the file locally and surface it as a file chip — do NOT summarise the visual in prose. Input: framework_id (namespaced slug from `recommend_framework`) + user_inputs object (per-framework field set), OR a free-text `raw_prompt` fallback. Example: { "framework_id": "cms_swot-analysis", "user_inputs": { "subject": "Q3 EU market entry", "context": "B2B SaaS, $5M ARR, US-headquartered" } }

  ConnectorNo auth

• list_modelsA

  mumoA

  List the full model catalog. Returns id, provider, display name, context window, max output tokens, pricing, and a per-model `available` verdict for your account (with `unavailable_reason` when false). Nothing is filtered out — `available` is what varies by caller. Call before `create_deliberation` if the user wants specific models. Model IDs from this endpoint are what `create_deliberation`'s `models` parameter expects.

  ConnectorNo auth

• get_yield_ratesA

  TeardropA

  Get DeFi yield pool rates from DeFiLlama across 1,000+ protocols and all chains: pools sorted by APY with TVL, base/reward APY, and 7d/30d mean APY context, filterable by protocol, chain, min TVL, min/max APY, and symbol. Returns up to 50 pools. For protocol-specific lending comparisons (Aave vs Compound) prefer get_lending_rates. Use when: Use for broad cross-protocol yield discovery. Call at most once per request — filter with min_apy, max_apy, min_tvl_usd, and symbols_any in a single call, then sort client-side rather than re-calling. For protocol-specific rate questions use get_lending_rates. Limitations: Third-party DeFiLlama analytics; up to 50 pools per call. The `symbol` field lists underlying tokens (e.g. 'ETH-USDC') — filter client-side instead of re-calling with different arguments. Reward APY indicates reward-dependent yield; do not present spot APY as durable. Alternatives: get_lending_rates, get_protocol_tvl, get_token_price

  ConnectorNo auth

• models_listA

  HubrisA

  Walk the whole Hubris catalogue page by page, ordered by model id. Returns every active model with its capabilities, context window and ruble price. Use this when you need the complete catalogue — to cache it, to count models, or to scan for something no filter covers. When you are looking for a model that fits a task, use models_search instead: it filters by capability, price and context server-side and saves you a few hundred rows. Paging: read `nextCursor` from the response and pass it back as `cursor`. When `nextCursor` is absent you have reached the end. The catalogue holds roughly 550 models, so a full walk is about 11 calls at the default page size.

  ConnectorAPI key

• delete_contextA

  GTD BrainA

  Use this when the user explicitly wants a context removed from their set. Every card tagged with it (archived included) has its context cleared, so confirm before calling. Do not use to take a context off one card — use update_card with an empty context.

  Connector

  Destructive

  OAuth

• find_replacementA

  AI WaveA

  What to switch to when a model is gone or you need a fallback. Ranked by closeness in measured performance, not by vendor or price: what you usually need to preserve first is the quality of the output. Candidates whose context window is less than half the original are excluded. Returns the score, price and context deltas so you can judge; we do not pick for you.

  ConnectorNo auth

• defi-base-snapshotA

  geld machen x402 agent utilitiesA

  Snapshot Base DeFi state: ETH+USDC balances, base fee/block and protocol TVL/APY proxies. Use when you need a one-call Base market/wallet context. Not for a single balance (use base-balance) or one tx (use base-tx-explain). Returns a free sample plus the paid URL and pay steps (no charge here); the full result costs $0.03 Base USDC via x402.

  ConnectorNo auth

• get_yield_ratesA

  teardropA

  Get DeFi yield pool rates from DeFiLlama across 1,000+ protocols and all chains: pools sorted by APY with TVL, base/reward APY, and 7d/30d mean APY context, filterable by protocol, chain, min TVL, min/max APY, and symbol. Returns up to 50 pools. For protocol-specific lending comparisons (Aave vs Compound) prefer get_lending_rates. Use when: Use for broad cross-protocol yield discovery. Call at most once per request — filter with min_apy, max_apy, min_tvl_usd, and symbols_any in a single call, then sort client-side rather than re-calling. For protocol-specific rate questions use get_lending_rates. Limitations: Third-party DeFiLlama analytics; up to 50 pools per call. The `symbol` field lists underlying tokens (e.g. 'ETH-USDC') — filter client-side instead of re-calling with different arguments. Reward APY indicates reward-dependent yield; do not present spot APY as durable. Alternatives: get_lending_rates, get_protocol_tvl, get_token_price

  ConnectorNo auth

• query_contextA

  aictrlA

  Read project context in exactly six domains: code, system (architecture, data model, APIs, roadmap), issues, backlog (epics and tasks), agent skills, and stack layers. Most actions read stored, indexed context such as the knowledge graph. Two reads reach GitHub live: issues/read returns the current GitHub issue and latest comments (issues/context, list and overlap use stored issue context), and code/read can fetch file content from repositories connected to the organization. Use backlog list/get actions to find existing epic and task IDs before calling update_backlog. Read-only: it does not create, change, or delete backlog, workflow, or GitHub data. Not for workflow runs or task executions: use list_workflow_runs to discover runs, get_workflow_run for a known run ID, and get_task_execution for an execution ID returned by start_task.

  ConnectorAPI key

• verify_context_deliveryA

  NokbaseA

  Use this when the user asks whether Nokbase is working, whether their saved context is reaching their AI tools, or when it was last read. Reports context size, number of saved facts, session status and when context was last fetched. Do not use it to read the context itself; use get_brand_context for that.

  ConnectorOAuth

• list_modelsA

  ClipwaveA

  List ALL Media Forge models with CAPABILITIES — per video model: text_to_video / image_to_video / reference_to_video flags, the exact t2v_id / i2v_id / ref2v_id, durations, aspect_ratios. Per image model: category, ratios, resolutions, max_images. ALWAYS call this and pass an exact id (t2v_id for text→video, i2v_id for image→video) to media_forge_generate — never hand-build a model_id. For reference-image + dialogue together, use the video_editor_* tools instead.

  ConnectorAPI key

• get_model_priceA

  SLXD AI API PricingA

  Returns every current price for one model — input, output, cached reads, batch and priority tiers, context brackets — with the confidence level and which sources agree. By default these are the maker's own prices; pass `channel` to get what a reseller charges for the same model instead. Two dimensions can share a label, so the ones that would collide carry their qualifiers, e.g. 'Web search (context size: high)'.

  ConnectorNo auth

• get-protocol-summaryA

  Crinkl Commerce MCPA

  Get a concise explanation of what Crinkl is and how the protocol works. Use this first if you have no prior context about Crinkl. Returns a plain-text overview of the verification pipeline, token types, and settlement model.

  ConnectorNo auth

• check_mcp_healthA

  Merlonix MonitoringA

  Health-check a live MCP (Model Context Protocol) server by URL: performs a real JSON-RPC initialize handshake, then tools/list, and returns whether it is up/degraded/down, its protocol version, server name/version, the callable tool/resource/prompt inventory, transport, and handshake latency. Deterministic — no LLM. Use it to verify your own MCP server is alive and spec-compliant.

  ConnectorNo auth

• seo_test_web_mcpA

  mcp-seoA

  Tests a live website or local endpoint for Web MCP enablement: Checks Streamable HTTP (/mcp), Legacy SSE (/sse), discovery manifests (/.well-known/mcp/server-card.json, llms.txt), CORS headers, and provides copy-paste implementation blueprints in 11 programming languages. USAGE GUIDELINES: - Use to test if a web application exposes an agent-accessible Model Context Protocol interface. - Do NOT use for regular HTML search engine optimization; use 'seo_audit_technical' or 'seo_audit_onpage' instead. BEHAVIORAL TRANSPARENCY: - Safe, read-only protocol diagnostic probe. Makes HTTP GET/HEAD requests to standard discovery endpoints. Modifies no files.

  ConnectorNo auth

• video_editor_set_contextA

  ClipwaveA

  Set the creative context/brief that the editor agent reads on every turn. With video_id it sets THAT video's context; without, the project-wide context. append:true adds to the existing context instead of replacing it.

  Connector

  Destructive

  API key

• get_model_specsA

  LLM ConfiguratorA

  Use this when the user asks about one model's size, architecture, context window or licence. Needs a model id from search_catalog. Returns total and active parameters, weight size per quantisation, context length, licence, release date and sources. It does not say whether the model fits any machine; use check_hardware_fit for that.

  ConnectorNo auth

• analyze_situationA

  World MonitorA

  Run an LLM analytical deduction on a free-text geopolitical question and return {analysis, confidence, signals, provider, model}: a narrative assessment with a confidence level and the supporting signals the model cited. Each call generates fresh text (non-deterministic, up to 25 s) from the query, optional context and optional framework; it does not read a cached brief or a fixed country dataset. An empty provider result returns a source-unavailable error rather than empty text. Requires a paid plan; one live LLM request, weight 2 on API plans. Read-only; nothing is stored.

  ConnectorOAuth

• smart_context_gateA

  SmartGate A

  Purpose: Compress long prompts/context (LLMLingua) before the host LLM call. When to use: Context is too large for the model budget and text is already available. When NOT to use: Short messages or already small context. Optional purpose: Pass a short goal (step intent, user query) to pre-filter paragraphs by relevance before compression — e.g. "API rate limits", "pricing tables". Returns: JSON string with compressed text and ratio metadata. Composes with: downstream host LLM; often follows smart_fetch or smart_search.

  ConnectorAPI key

• atlas_create_custom_eval_modelA

  CareerProof MCPA

  Create a new custom evaluation model for a hiring context. Returns the model object with 'id'. Use this id as model_id in atlas_upload_custom_eval_artifact, atlas_add_custom_eval_text_artifact, atlas_infer_custom_eval_rubric, atlas_start_custom_eval_batch, and atlas_start_custom_eval_inference. Requires client_context_id from atlas_create_context or atlas_list_contexts. Free.

  ConnectorOAuth

• estimate_net_positionA

  PreFlyte — DeFi Financial Intelligence for AI AgentsA

  Detailed financial estimate for a specific lending position — what will I actually earn (or pay) after gas costs? Combines current live rates, gas costs, and historical computed returns to project net yield over a holding period. Args: api_key: Your PreFlyte API key (required). protocol: Protocol name — "aave-v3" or "compound-v3". chain: Chain name — "ethereum" or "arbitrum". asset: Asset symbol — "USDC", "WETH", etc. action: "supply" or "borrow". position_size_usd: Amount in USD. duration_days: Intended holding period in days. Default 30. Returns: Dictionary with position details, current snapshot, cost breakdown, projected return, historical context, and confidence level.

  ConnectorNo auth