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602,179 tools. Updated 2026-09-23 06:54

"An introduction to Neo4j, a graph database management system" matching MCP tools:

  • Get detailed graph project information including Kubernetes deployment status, Neo4j database health, pod status, and resource usage. Use this after deployment to verify the graph project is running correctly.
    ConnectorNo auth
  • Get detailed graph project information including Kubernetes deployment status, Neo4j database health, pod status, and resource usage. Use this after deployment to verify the graph project is running correctly.
    ConnectorNo auth
  • Search Flevy's marketplace of consulting frameworks, PowerPoint templates, Excel financial models, business toolkits, and management case studies. Use this whenever a user needs a best-practice framework, methodology, template, financial model, or real-world case example on any business or management topic (strategy, digital transformation, supply chain, pricing, operational excellence, M&A, etc.). Returns up to 10 relevance-ranked recommendations across two content types: "document" (premium documents authored by management consultants) and "case_study" (management case studies). ALWAYS include each recommended item's url as a clickable link when you mention it in your reply — never reference a document without its link, because the link is the only way the user can open it. Each result carries a content_id for get_content_details. Filters: topic (single, or "topics" for documents covering ALL of several topics), author (list more documents from an author seen in results), filetype (including tier1_consulting_deck for McKinsey-style strategy decks), content_type. Topic-filtered responses also list related_topics to pivot to. Provide at least one of query, topic(s), or author; use list_topics to map user phrasing to a canonical topic.
    ConnectorNo auth
  • Explore what a graph node connects to — its metrics, the entities a metric covers, competitors, industry, index membership, and sources. Two modes. Pass `node_id` alone for the map: every relation group with its key, label, total, and its first 3 names. Pass `relation` to page one group, where each item comes back with the id that explores it. Read a key off the map rather than guessing — an unknown key returns an empty group, not an error. Best for: expanding a node you already resolved. Resolve a name to a node id with `tako_available_data` first. A metric listed here means the graph tracks it, not that a card exists — `tako_search` is the final check.
    ConnectorNo auth
  • Update a workflow's name, description, email sending account, and/or graph. Call this to rename a workflow, change its sending account, or restructure its steps. Provide name/description/emailGoogleAccountId to patch metadata; provide graph to replace the non-anchor nodes and edges. Both can be supplied in a single call. For one node's config only, use campaignstack_update_workflow_node instead. Set existingNodeId on graph nodes that update an existing node in place. Claimed nodes keep their in-flight leads, while removing a node that still holds active leads fails with NODE_HAS_ACTIVE_LEADS (drain it first with campaignstack_cancel_node_leads). Graph replacement runs validation. Invalid graphs are rejected and the workflow is left unchanged. To enable or disable a workflow use campaignstack_update_workflow_status instead.
    ConnectorAPI key
  • Display an interactive equation.io graph inside the conversation, with editable equations, sliders, pan/zoom, and 3D rotation. Use when the user asks to see or explore a graph. Pass the COMPLETE graph as "equations", one equation or definition per string, preserving unchanged rows when editing. For a slider use "a = 2" then "y = a sin(x)". For advanced syntax read the "syntax" resource (https://equation.io/llms.txt). Returns per-row validation and share links; a row with status "error" is not drawn until its text is corrected and the graph resubmitted. Use encode_graph_url for validation or link-only requests (including share-link preview notes). In clients without UI support, provide share_url.
    ConnectorNo auth

Matching MCP Servers

  • F
    license
    Not graded
    quality
    B
    maintenance
    A containerized FastAPI + MCP server that lets LLM agents inject structured entities and relationships into a Neo4j graph database with safe Cypher execution.
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Matching MCP Connectors

  • Display an interactive equation.io graph inside the conversation, with editable equations, sliders, pan/zoom, and 3D rotation. Use when the user asks to see or explore a graph. Pass the COMPLETE graph as "equations", one equation or definition per string, preserving unchanged rows when editing. For a slider use "a = 2" then "y = a sin(x)". For advanced syntax read the "syntax" resource (https://equation.io/llms.txt). Returns per-row validation and share links; a row with status "error" is not drawn until its text is corrected and the graph resubmitted. Use encode_graph_url for validation or link-only requests (including share-link preview notes). In clients without UI support, provide share_url.
    ConnectorNo auth
  • Mint a PROJECT-scoped management token (`er_mcp_`) for MCP and REST; it cannot authenticate relay traffic. Use it after create_project to configure a fresh project, or for any project you already own. Attenuated by design: the scopes must be a subset of THIS management token's own grant (`read` is always included), expiry is mandatory (1–90 days, default 30, never "never"), and the minted management token (being project-scoped) can never mint management tokens itself. `spend` is human-granted only: no management token, of any scope, can mint one carrying it. Mint a spend-scoped token from the project's panel instead. Requires an ACCOUNT-scoped management token and the `config` scope. Returns the plaintext exactly once; only its hash is stored.
    ConnectorNo auth
  • Read one Analytics Legends study BODY — the paid text behind list_studies' metadata. Requires a subscriber API key, Consultant tier or above. Bodies run to 38k words and exceed the 256 KiB response ceiling, so this tool serves STRUCTURE first: called without `section` it returns the section list and the introduction; pass `section` (a heading from that list, matched case-insensitively) to read one section. Find slugs and languages with list_studies.
    ConnectorNo auth
  • List taxonomy facets and their value slugs across TCLP content. Facets are taxonomy categories like `sector`, `practice_area`, `application`, and `jurisdiction`. Each facet returns the list of slugs that actually appear on the graph, with counts. Use this to discover the vocabulary, then call `taxonomy_content` with chosen slugs. Args: scope: Which labels to include — `clause` (ClauseName only), `guide` (Guide only), or `all` (both, the default). Returns: JSON with "meta" and "facets". Each facet has `name`, `applies_to` (list of Neo4j labels carrying it), and `values` (list of `{slug, count}`, sorted by count desc).
    ConnectorNo auth
  • List taxonomy facets and their value slugs across TCLP content. Facets are taxonomy categories like `sector`, `practice_area`, `application`, and `jurisdiction`. Each facet returns the list of slugs that actually appear on the graph, with counts. Use this to discover the vocabulary, then call `taxonomy_content` with chosen slugs. Args: scope: Which labels to include — `clause` (ClauseName only), `guide` (Guide only), or `all` (both, the default). Returns: JSON with "meta" and "facets". Each facet has `name`, `applies_to` (list of Neo4j labels carrying it), and `values` (list of `{slug, count}`, sorted by count desc).
    ConnectorNo auth
  • Produce a markdown heading structure for a blog post — title, introduction, numbered sections with subsections, conclusion and an FAQ block. Returns JSON { outline } holding the markdown. It writes the skeleton only, not the article: use generate_text for body prose and humanize_text to rework text that already exists. Paid model call, capped at roughly 1,000 tokens, so a large section count yields thinner sections. 10 calls per minute per IP; identical requests may return a cached outline.
    ConnectorNo auth
  • Produce a markdown heading structure for a blog post — title, introduction, numbered sections with subsections, conclusion and an FAQ block. Returns JSON { outline } holding the markdown. It writes the skeleton only, not the article: use generate_text for body prose and humanize_text to rework text that already exists. Paid model call, capped at roughly 1,000 tokens, so a large section count yields thinner sections. 10 calls per minute per IP; identical requests may return a cached outline.
    ConnectorNo auth
  • Get one pipeline: metadata plus a summary of its node graph (node ids, types, labels). Pass includeGraph to get the complete graph — every node with position and config, and every edge — which is what update_pipeline needs as a starting point. Never write a graph reconstructed from the summary: it drops configs.
    ConnectorAPI key
  • Get the Designesy SKILL.md — the agent-skill-format export of the design-system contract, written as behavioral rules an AI coding agent can drop into .agents/skills/ or a system prompt. Use this when you want the contract in a form that steers how an agent *builds* UI (tokens, anti-patterns, behavioral rules, verification). When NOT to use: for the raw contract JSON, use designesy_contract; for scoring, use designesy_score. Read-only — no side effects. Returns markdown text (SKILL.md format) — drop into .agents/skills/ or paste into a system prompt. No parameters.
    ConnectorNo auth
  • List the projects on your account (archived included), each with `id`, `slug`, `name`, `apiBaseUrl` and `archived`, plus `accountEmail` — the account this token authenticates as. Requires an ACCOUNT-scoped management token (one minted with no project) and the `read` scope. A PROJECT-scoped management token cannot call this: use it on its own project's tools instead.
    ConnectorNo auth
  • Create a new project on your account so an agent can bootstrap from a fresh account. The slug is derived from the name and validated server-side (format, reserved words, uniqueness). Each plan includes a fixed number of active projects (free tiers one; paid plans more: see list_subscription_plans); at the limit this errors. If an existing project can host this integration, skip create_project and call create_project_token against it instead of adding another. Requires an ACCOUNT-scoped management token and the `config` scope. Returns the created project ({id, slug, name, apiBaseUrl, archived}); call create_project_token next to mint a management token for it.
    ConnectorNo auth
  • List your drops. With an account token: all LIVE drops attached to your account (across sessions and channels — manageable without managementToken). Anonymous: only the drops published during this MCP session. Management tokens are never stored server-side.
    ConnectorNo auth
  • Change how much memory an app's managed database gets. Call this when the database is slow or out of memory. db_ram_mb must be one of the sizes get_resource_usage reports under db_ram.steps_mb and fit your database-RAM pool. WARNING: the database restarts briefly to apply the new size, so the app loses its database connection for a few seconds. Only works if the app has a managed database.
    ConnectorNo auth
  • Delete a graph project (removes GitHub repo, K8s deployments, Neo4j database, and credentials). It runs as a job: poll the returned job_id with get_job_status until it is completed. One operation runs on a project at a time: while another runs, the call is refused and the refusal names the running job; wait for it with get_job_status, then call again. While RationalBloks is being updated, the call is refused with 'RationalBloks is being updated': call it again in a few minutes.
    Connector
    Destructive
    No auth
  • Rollback a graph project to a previous version. ⚠️ WARNING: This reverts schema AND code to the specified commit. Neo4j data is NOT rolled back. Use get_graph_version_history to find the commit SHA of the version you want to rollback to. After rollback, the graph API will be redeployed with the old schema. One operation runs on a project at a time: while another runs, the call is refused and the refusal names the running job; wait for it with get_job_status, then call again. While RationalBloks is being updated, the call is refused with 'RationalBloks is being updated': call it again in a few minutes.
    Connector
    Destructive
    No auth