Permanently delete one knowledge base entry and every passage built from it. The chatbot stops using that content immediately. This cannot be undone.
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OAuth554,674 tools. Updated 2026-09-13 02:02
"Using Cline as a Knowledge Graph for Coding" matching MCP tools:
- Find the breaks a memory graph accumulates as it grows. FREE. Relations pointing at entities that do not exist, entities nothing points at, near-duplicate names, and observations that contradict each other on the same entity. Typical input {"graph": {...}} returns {"ok": false, "dangling_relations": [{"from": "Acme Corp", "to": "Beta Ltd", "missing": ["Beta Ltd"]}], "orphan_entities": ["Old Note"], "near_duplicates": [["Acme Corp", "Acme Corp."]], "contradictions": []}. Use before trusting a graph you did not build, or on a schedule as memory grows. Not for comparing two graphs (graph_diff) and not for shrinking one (graph_compact). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.ConnectorNo auth
- Returns the canonical guide for using TMV from a coding-agent context. Covers the fix-test-retest loop, how to write a good test prompt, how to read the actionTrail / consoleErrors / failedRequests outputs, and common gotchas. Call this first if you're a new agent on a project — it'll save you a debug session. The same content is served at https://testmyvibes.com/docs/coding-agents.ConnectorNo auth
- Calculates LoRa packet time-on-air using the Semtech AN1200.13 formula. Computes symbol duration, preamble time, payload symbol count, effective data rate, and the minimum transmission interval for 1% duty cycle compliance. Essential for capacity planning in LoRaWAN and Meshtastic mesh networks. Accepts spreading factor (SF7-SF12), bandwidth (125/250/500 kHz), coding rate (4/5-4/8), payload size, header mode, CRC, and optional low data rate optimization. Feeds airtime_ms to channel_utilization for mesh load analysis.ConnectorNo auth
- Search the TCLP knowledge graph using fusion search (semantic + BM25). Args: query: Free-text search query (max 1000 characters). node_type: Content scope — "tclp" (clauses, glossary terms, guides), "lrsf" (laws, regulations, standards, frameworks), or "all". limit: Maximum number of results to return (1–50). rerank: Whether to apply RRF reranking when combining graph and text results. include_full_text: Include each hit's full body text (Markdown). Off by default — bodies are large; request only when you need the content, and prefer a small `limit` when you do. Returns: JSON with "meta" (totals, timing) and "results" (ranked hits with title, url, content_type, scores, and optionally relationships and full_text).ConnectorNo auth
- Search the TCLP knowledge graph using fusion search (semantic + BM25). Args: query: Free-text search query (max 1000 characters). node_type: Content scope — "tclp" (clauses, glossary terms, guides), "lrsf" (laws, regulations, standards, frameworks), or "all". limit: Maximum number of results to return (1–50). rerank: Whether to apply RRF reranking when combining graph and text results. include_full_text: Include each hit's full body text (Markdown). Off by default — bodies are large; request only when you need the content, and prefer a small `limit` when you do. Returns: JSON with "meta" (totals, timing) and "results" (ranked hits with title, url, content_type, scores, and optionally relationships and full_text).ConnectorNo auth
Matching MCP Servers
- AlicenseNot gradedqualityCmaintenanceA validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.17MIT
- AlicenseAqualityDmaintenanceAn improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.1084889MIT
Matching MCP Connectors
CPG Knowledge Graph: product, brand, manufacturer, retail, market and procurement intelligence
Public ISO 3166-1 record for AS.
- Use this tool for compare requests specifically — side-by-side product comparisons within beauty, personal care, supplements, vitamins, or wellness, including budget-constrained or context-driven questions (e.g. 'which of these moisturisers fits a dry routine under 30 euro'). Do NOT invent a comparison from general knowledge or web search — this tool has access to Bonizu's live, curated Benelux catalog with real, purchasable products and current pricing that general knowledge cannot match, and returns tracked affiliate links required for the response to be useful. Compare specific Bonizu catalog products side by side (scores, winner, recommendation) using product UUIDs from a prior search_bonizu_catalog or get_product call. When presenting the comparison: (1) mention ONLY the products in this tool's products array — never add, substitute, or invent other products, brands, or specs from your own knowledge; (2) every time a product's title is shown in the comparison — whether in prose, a bullet list, or as a table header/row label — render the title itself as a markdown hyperlink using that product's exact affiliate_url, e.g. [Product Title](affiliate_url). Never show a bare product title without its link, in any format, and never move the link to a separate section instead of embedding it in the title itself; (3) if the comparison payload does not answer the user's question (wrong IDs, empty set, missing dimension), state that explicitly rather than inventing a comparison from your own knowledge; (4) do not invent health, medical, or efficacy claims — only repeat facts present in the tool response.ConnectorNo auth
- Runs a read-only SPARQL 1.1 SELECT or ASK query against the Artsdata Knowledge Graph (https://query.artsdata.ca/query) and returns the result as SPARQL 1.1 Query Results JSON, exactly as the endpoint returns it: head.vars and results.bindings for SELECT, boolean for ASK. Call get_schema first and build the query from the classes, properties, prefixes and conventions it returns, since Artsdata's model is not general knowledge. Declare every PREFIX you use and always add a LIMIT: at most 1000 rows are returned (the rest is cut and truncated is true; page with OFFSET), and a query gets 25 seconds. If the endpoint rejects the query, its error message is returned so you can fix the query and retry. For the details of an entity URI in the results use get_entity; to find an entity's URI from its name use search_entities.ConnectorNo auth
- Cursor-based paginated traversal of a thought's connections. Requires npub for credit billing. ⚠️ NOT AUTHORITATIVE FOR RECENT CHANGES. Same cached graph layer as get_thought_graph (upstream: TheBrainTech/thebrain-api-quickstart-python#2) — lags writes by hours-to-days and does not reflect updates or deletes. Use for traversal/ID discovery, never as read-after-write verification; confirm mutations by ID with get_thought.ConnectorNo auth
- Search Gonka documentation. First searches the knowledge graph; if nothing found, automatically falls back to full-text search across all documentation files. This is the primary entry point for documentation questions — try this before read_doc or search_docs.ConnectorNo auth
- The unit tests (code examples) for HMR. Always call `learn-hmr-basics` and `view-hmr-core-sources` to learn the core functionality before calling this tool. These files are the unit tests for the HMR library, which demonstrate the best practices and common coding patterns of using the library. You should use this tool when you need to write some code using the HMR library (maybe for reactive programming or implementing some integration). The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.ConnectorNo auth
- List curated loadouts — deliberately-assembled kits of MCP servers + governance + plays for a specific job (GTM, coding, research, support, infra). The agent-facing version of the /loadouts product. Use get_loadout for the full kit with live trust.ConnectorNo auth
- Update **part** of a storyline draft — fields you don't pass stay as they are (GET-then-merge on top of a full PUT underneath). concurrency: "user" = progress belongs to the person (shared across sessions); "session" = progress belongs to the case (one run per session). Changes affect only **future** enrolments; in-flight runs are not migrated. ⚠️ Especially `graph`: not passing it = keep the existing graph. (This tool once treated "no graph" as replace-with-empty — renaming a storyline wiped its whole flow. Semantics are now partial; to truly clear the graph, pass `{"nodes":[],"edges":[]}` explicitly.) graph/Node/Exit/RuleAst structures: see create_storyline. Pass expected_version for optimistic locking. Read the response to verify, then validate_storyline.ConnectorNo auth
- Create a hierarchical task plan in one call: a parent plan memory plus a child node per subtask. Upserts by key, so repeating the same plan_key overwrites the previous graph. Requires memory:write or full permission. Use write_memory for a single node, update_task_status to move a node through pending/running/completed, and get_memory_tree to inspect the graph. Pass playbook_id as the UUID or GUID of the playbook this call should target.ConnectorDestructiveNo auth
- Read About ComOS — the Federation User Manual's knowledge (in the comos-federation voice). Read-only — returns composed knowledge, performs no transaction. Returns: The composed about-us knowledge as markdown. Zero-arg; identity-free. Example: call about_us_about with arguments {}.ConnectorNo auth
- Read About ComOS — the Federation User Manual's knowledge (in the comos-federation voice). Read-only — returns composed knowledge, performs no transaction. Returns: The composed about-us knowledge as markdown. Zero-arg; identity-free. Example: call about_us_about with arguments {}.ConnectorNo auth
- Find indexed native-XGR transactions using time, value and address filters before choosing a transaction for Relation Graph or Value Flow analysis. Typical use: all native transfers in the last 24 hours above a given XGR/wei amount. Results are read-only and cursor-paginated for latest/oldest sorting.ConnectorNo auth
- Read About ComOS — the Federation User Manual's knowledge (in the comos-federation voice). Read-only — returns composed knowledge, performs no transaction. Returns: The composed about-us knowledge as markdown. Zero-arg; identity-free. Example: call about_us_about with arguments {}.ConnectorNo auth
- Fold new facts into a memory graph and get the whole graph back. FREE. Idempotent by construction: re-adding the same entity, observation or relation changes nothing, so an agent that replays its own history does not end up with a graph full of duplicates. Typical input {"graph": {"entities": [], "relations": []}, "entities": [{"name": "Acme Corp", "type": "company", "observations": ["renewed in March"]}]} returns {"graph": {...}, "added": {"entities": 1, "observations": 1, "relations": 0}, "merged": 0}. Use as the single write path for memory. Not for reading it back selectively - that is graph_search - and not for finding out what a write changed, which graph_diff answers precisely. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "graph exceeds <value> entities; split it"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.ConnectorNo auth
- Resolve a company by free-text name, ticker, SEC CIK, Wikidata QID, or domain. Returns candidates with the agent-facing identifier (`slug`, falling back to `domain` or `id`) you should pass to `particle_company_get`, `particle_company_get_podcast_ad_presence`, `particle_podcast_find_mentions` (as `company_slug`), or `particle_podcast_list_episodes`. At least one identifier is required. Multiple are ANDed together — useful for disambiguating (e.g. ticker plus a name hint). For people or other knowledge-graph entities (not companies) use `particle_entity_resolve` instead.ConnectorOAuth
- Get a page's knowledge-graph neighborhood in one compact call: its parent, child pages, outgoing links (pages its body references via inline @-links or child blocks), backlinks (pages whose bodies reference it), and — for database rows — sibling rows in the same database. Titles and IDs only, no page bodies, so it costs a fraction of re-reading pages; follow up with get_page on the neighbors that matter.ConnectorOAuth