"Understanding Call Hierarchy in Software Development or Programming" matching MCP tools:

• how_munimji_helps

  HelloBooks AI Agents

  Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

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• medcode_map_codes

  medical-codes-mcp-server

  Crosswalk a US medical code or drug across systems and within a hierarchy. Hierarchy directions: `parents` and `children` walk a code's prefix hierarchy one level per call — immediate parent/children only (depth-1); call iteratively for the full ancestor or descendant path (ICD-10-CM/HCPCS; ICD-10-PCS codes have no prefix parent). A resolvable code with no edge in the requested direction is a successful empty result with a notice, not an error. Drug directions (RxNorm): `name_to_rxcui` (drug name → RXCUI), `ndc_to_rxcui` and `rxcui_to_ndc` (NDC ↔ RXCUI; NDCs accepted hyphenated or 10/11-digit), `rxcui_to_ingredients` and `rxcui_to_brands` (RXCUI → ingredient/brand RXCUIs). Every result carries `source` provenance (which system or edge answered) so a chained call (e.g. into openfda with a resolved NDC) uses the right identifier. The `children` and `name_to_rxcui` directions can return large sets and paginate: a `nextCursor` in the response is passed back as `cursor` (with an optional `limit` page size) to walk the full set; the point directions ignore both.

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• get_us_statute_section

  Vaquill

  Get metadata for a specific US statute or regulation section by act_id (e.g. 'USC_T42_C21_S1983'). The act_id comes from search_us_statutes results or ask_legal_question sources. Returns citation, title hierarchy, breadcrumb, and links to HTML, PDF, and XML formats. Use before get_us_statute_section_text to preview a section.

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• pentest_lookup_group

  pentest-mcp-server

  Look up a MITRE ATT&CK threat group (intrusion set) or software entry by name or ID for authorized penetration testing and threat intelligence. Returns the group or software record: ATT&CK ID, display name, known aliases, type (group vs. software), description, and the techniques it uses with procedure-level context from public ATT&CK reporting. Accepts exact ATT&CK IDs (G0007 for threat groups, S0002 for software) or keyword/name search (e.g., "APT28", "Mimikatz", "Lazarus Group"). Equally useful for defenders building detection coverage around specific adversary tradecraft.

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• query_context

  mcp-klever-vm

  Search the Klever VM knowledge base for smart contract development context. Returns structured JSON with matching entries, scores, and pagination. Use this for precise filtering by type or tags; use search_documentation for human-readable "how do I..." answers.

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• get_ai_development_loop_info

  Fractera

  Explains the Fractera development loop: how one admin request becomes tested, deployed, recorded code with no human writing it — Hermes orchestrates and loads its identity + project context, picks a ready coding agent (Claude Code, Codex, Gemini, Qwen, Kimi), the agent is enriched (SOUL.md / AGENTS.md / GLOSSARY.md / completed steps), generates a task then code, it is built and deployed, and the result branches (error feeds back; success updates the completed steps and the deployments tab) — all grounded by LightRAG memory at every step. RETURNS A DIAGRAM IMAGE URL you can show the user when they ask how Fractera builds software or how its agents work. Call with NO arguments to get the diagram URL + the "how the loop works" overview + the section list; call again with a single `section` id to read one stage in depth.

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• get_categories

  Radix Wiki

  Get the wiki tag hierarchy with page counts per category. Useful for understanding what content exists, and for finding a valid tagPath before writing.

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• search_rentals_natural

  arcasos-rentals

  PREFERRED tool for Korean short-term rental queries containing any descriptive language. ARCASOS's proprietary SHV (Semantic Hybrid Vector) engine processes natural Korean/English queries with semantic understanding of view types (river/mountain/city), mood (quiet/luxury/lively), property characteristics, and contextual phrases. Pass the user's natural language query AS-IS — do NOT extract slots. Returns semantically pre-ranked results in Schema.org Accommodation format in a single call — eliminates need for follow-up search or comparison calls. Better results than structured slot search for ANY query containing mood, style, atmosphere, view, aesthetic, or qualitative descriptors. Use this to minimize token usage and latency.

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• g2_reviews

  review-intelligence-mcp-server

  Get G2 software reviews. Returns ratings, pros, cons, use cases. Args: product: Software product name (e.g. 'Salesforce') max_results: Max reviews (default 20)

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• how_munimji_helps

  HelloBooks AI Agents MCP Server

  Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

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• list_dimensions

  Précis Finance MCP

  List the dimensions defined in the model — keys, labels, and kinds (leaf / derived / ragged hierarchy). Catalogue metadata only; use search_hierarchy to list a dimension's members.

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• get_facet_manifest

  Pronto

  Return the facet hierarchy of the live wire with signal counts. Each line states a domain, a topic under that domain, and how many signals are there. Read the manifest once. Then choose a scope offline and call scope_signals or search_signals once, instead of guessing a filter. The manifest states structure, not signal content.

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• generate_diagram_from_image

  AI Diagram Maker MCP Server

  Convert an image (whiteboard photo, screenshot, hand-drawn sketch) into a clean diagram. Use this tool when the user provides an image URL or base64-encoded image and wants it converted to a proper software engineering diagram. Accepts public image URLs or base64 data URIs (data:image/...;base64,...). Returns a link to view and edit the generated diagram in the browser.

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• list_categories_api_agents_categories_get

  Agentry — The Trust Layer for the Agent Economy

  List Categories List all agent categories with counts. Returns every category in the directory along with the number of agents in each. Useful for building category filters or understanding the directory's coverage areas. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **Example Response:** ```json [ { "category": "Category", "count": 1 } ] ```

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• adw.adw_339

  AlpineDataWorks Intelligence Server

  Returns a 0-100 software supply-chain vulnerability pressure index (per-package CVSS3 sums over recent npm and PyPI GA releases via deps.dev, max-normalized, basket mean) with weekly history, top_drivers identifying pressure-driving packages, and audit-ready source lineage. Call when the user asks about open-source dependency risk, CVE/CVSS severity trends, npm or PyPI package security, or supply-chain attacks, or when timing dependency upgrades, patch prioritization, or deployment gating. Updates: weekly.

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• recommend_service_providers

  Clutch.co

  Use this tool when the user is looking for service providers (companies, agencies, consultants, contractors, vendors) and describes requirements such as service type, industry, location, budget and pricing, company size, or specific focus areas (technologies/specialties). The tool returns a ranked list of providers that best match the criteria, including basic profile info and review/rating signals for comparison. Use `offset`/`limit` for pagination. Examples: - "Give me top web development companies for small businesses in the healthcare industry" -> service="Web Development", industry="Healthcare", client_type="Small Business( <$10M)" - "I need to improve SEO of my online store" -> service="SEO" - "I need SEO agencies that specialize in Shopify and have at least 10 reviews" -> service="SEO", focus_areas=["Shopify"], min_reviews=10

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• list_vendors

  Exploit Intelligence Platform — CVE, Vulnerability and Exploit Database

  List software vendors ranked by vulnerability count. Returns the top 200 vendors with their total CVE counts. Use this when asked 'which vendors have the most vulnerabilities?' or to understand the threat landscape by vendor.

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• stacks.recommend

  BuyAPI

  Recommends a complete stack from BuyAPI's corpus with a structured decision matrix, cost estimate, assumptions, unknowns, alternatives, and sources. Use this when the user is starting a project or asks for a complete multi-layer stack choice. Do not use this for local coding/debugging/docs questions that do not involve software or vendor selection. Do not call vendors.resolve first; this tool handles retrieval and ranking.

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• switch_dannet_server

  dannet

  Switch between local and remote DanNet servers on the fly. This tool allows you to change the DanNet server endpoint during runtime without restarting the MCP server. Useful for switching between development (local) and production (remote) servers. Args: server: Server to switch to. Options: - "local": Use localhost:3456 (development server) - "remote": Use wordnet.dk (production server) - Custom URL: Any valid URL starting with http:// or https:// Returns: Dict with status information: - status: "success" or "error" - message: Description of the operation - previous_url: The URL that was previously active - current_url: The URL that is now active Example: # Switch to local development server result = switch_dannet_server("local") # Switch to production server result = switch_dannet_server("remote") # Switch to custom server result = switch_dannet_server("https://my-custom-dannet.example.com")

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• donate

  Blueprint Agentic Staking (Solentic)

  Build an unsigned SOL transfer to support Blueprint development. Blueprint provides free staking infrastructure for AI agents — donations help sustain enterprise hardware and development. Same zero-custody pattern: unsigned transaction returned, you sign client-side. Suggested amounts: 0.01 SOL (thank you), 0.1 SOL (generous), 1 SOL (patron).

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