"Tool for saving context and understanding repository structure" matching MCP tools:

• set_project_profile

  Peec AI MCP Server

  Replace a project's brand profile with the supplied values. All fields are required — the whole profile is overwritten, so first call get_project_profile, merge your changes into the existing values, then send the complete profile here. Saving triggers a background refresh of prompt suggestions. Confirm changes with the user before calling. Audience distribution percentages must sum to 100. The project's display name is not part of the profile and cannot be changed via this tool.

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• legislation_search

  UK Legal Research

  Search UK legislation on legislation.gov.uk. Returns ranked results: title, type, year, number, and legislation.gov.uk URL. Use legislation_get_toc to explore structure, then legislation_get_section for provisions.

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• fetch_more

  Cirra AI Salesforce Admin MCP Server

  Fetch the next page of a large tool response. Use the nextCursor from _pagination in a previous response. This tool loads data into the context window — prefer the artifact download URL when available.

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• get_fomc_rate_probability

  Stratalize Real Estate Intelligence

  Use when providing monetary policy narrative context for a macro brief, investment committee, or CFO rate planning session. Returns illustrative cut, hike, and hold probabilities for the next three FOMC meetings based on current FRED fed funds data. Scenario planning tool — not futures-implied market odds. Example: Hold probability 68% at next meeting, cut probability 31% — conditioned on fed funds at 5.33% and latest CPI print. Source: FRED St. Louis Fed.

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• get_microsite_info

  library

  Identity, audience, focus, sponsor relationship, crisis routing, and links for Psychiatry for Kids. Always safe to call when the agent needs site-level context.

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• code_get_file

  searchcode

  Get code from a remote public git repository — either a specific function/class by name, a line range, or a full file. PREFERRED WORKFLOW: When search results or findings have already identified a specific function, method, or class, use symbol_name to extract just that declaration. This avoids fetching entire files and keeps context focused. Only fetch full files when you need a broad understanding of a file you haven't seen before. For supported languages (Go, Python, TypeScript, JavaScript, Java, C, C++, C#, Kotlin, Swift, Rust) the response includes a symbols list of declarations with line ranges. This is not a first-call tool — use code_analyze or code_search first to identify targets, then extract precisely what you need.

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• command_center

  arifOS — Constitutional AI Governance

  Use this when the user wants to open the arifOS Command Center. This is the governed cockpit for constitutional AI operations across the arifOS federation (arifOS, A-FORGE, GEOX, WEALTH). It provides tabs for session status, thermodynamic vitals, constitutional judgment (888 Judge), forge dry-run simulation (010 Forge), cross-agent gateway handshake (666 Gateway), and vault audit (999 Vault). Do not use for direct tool execution — use the specific canonical tool (e.g., arif_judge_deliberate, arif_ops_measure) when the user asks for a single action outside the cockpit context.

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• scan_skill

  SecurityScan

  Scan a GitHub repository or skill URL for security vulnerabilities. This tool performs static analysis and AI-powered detection to identify: - Hardcoded credentials and API keys - Remote code execution patterns - Data exfiltration attempts - Privilege escalation risks - OWASP LLM Top 10 vulnerabilities Requires a valid X-API-Key header. Cached results (24h) do not consume credits. Args: skill_url: GitHub repository URL (e.g., https://github.com/owner/repo) or raw file URL to scan Returns: ScanResult with security score (0-100), recommendation, and detected issues. Score >= 80 is SAFE, 50-79 is CAUTION, < 50 is DANGEROUS. Example: scan_skill("https://github.com/anthropics/anthropic-sdk-python")

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• parliament_search_hansard

  UK Legal Research

  Search Hansard for parliamentary debates, questions, and speeches. Returns contributions from MPs and Lords including date, party, debate title, and text (capped at 3000 chars per contribution). Useful for understanding legislative intent or political context.

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• get_knowledge_stats

  mcp-klever-vm

  Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.

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• kb_get_practical_advice

  Hermes — Air Quality Intelligence

  Generic protective-action guidance for a category of situation (NOT keyed to an individual user's context). For *personalised* advice that takes the user's specific health situation into account (asthma, pregnancy, gas cooker, tube commute, indoor sources), prefer the Clara MCP server's `contextual_advice` tool — it composes Hermes live readings with personal context to give an answer keyed to *this* user, *now*. Use this KB tool only as a fallback or when Clara is not available. Args: situation: One of "high_pollution_day", "commuting", "exercise", "school_run", "indoor_air", "planning_objection", "pregnancy", "child_asthma". Returns practical advice document (markdown).

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• describe_table_tool

  Wherobots

  Describe a specific table. ⚠️ WORKFLOW: ALWAYS call this before writing queries that reference a table. Understanding the schema is essential for writing correct SQL queries. 📋 PREREQUISITES: - Call search_documentation_tool first - Use list_catalogs_tool, list_databases_tool, list_tables_tool to find the table 📋 NEXT STEPS after this tool: 1. Use generate_spatial_query_tool to create SQL using the schema 2. Use execute_query_tool to test the query This tool retrieves the schema of a specified table, including column names and types. It is used to understand the structure of a table before querying or analysis. Parameters ---------- catalog : str The name of the catalog. database : str The name of the database. table : str The name of the table. ctx : Context FastMCP context (injected automatically) Returns ------- TableDescriptionOutput A structured object containing the table schema information. - 'schema': The schema of the table, which may include column names, types, and other metadata. Example Usage for LLM: - When user asks for the schema of a specific table. - Example User Queries and corresponding Tool Calls: - User: "What is the schema of the 'users' table in the 'default' database of the 'wherobots' catalog?" - Tool Call: describe_table('wherobots', 'default', 'users') - User: "Describe the buildings table structure" - Tool Call: describe_table('wherobots_open_data', 'overture', 'buildings')

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• get_ai_news

  Ai Briefing

  Get AI industry news — model releases, funding, acquisitions, policy changes, benchmarks. Returns news events with dates and summaries for industry context.

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• get_rehab_sample

  RTK Motion — Motion Capture, Biomechanics, and Threat Intelligence

  FREE rehab biomechanics sample — shows the structure and metric categories of a clinical summary without numeric values. Demonstrates data quality and coverage. Upgrade to get_rehab_summary ($0.50) for full numeric data. Try case_path='PhysicalRehab/40-50/Male/LabrumTear'.

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• gitwhy_sync

  gitwhy-mcp

  Upload local contexts to the GitWhy cloud as private (not shared with team). Use after saving contexts locally to back them up to the cloud. Synced contexts remain private until explicitly published with gitwhy_publish. CLI alternative: `git why push <context-id>` (syncs specified contexts as private).

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• investigate_question

  VaultCrux Memory Core

  Composite server-side investigation tool. Pass a question and the server automatically: (1) detects intent (aggregation/temporal/ordering/knowledge-update/recall), (2) queries the entity index for structured facts, (3) builds a timeline for temporal questions, (4) retrieves memory chunks with the right scoring profile, (5) expands context around sparse hits, (6) derives counts/sums for aggregation, (7) assesses answerability, and (8) returns a recommendation. Use this as your FIRST tool for any non-trivial question — it does the multi-step investigation that would otherwise take 4-6 individual tool calls. The response includes structured facts, timeline, retrieved chunks, derived results, answerability assessment, and a recommendation for how to answer.

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• save_memory

  Toolora

  Use this tool to persist important information across sessions so it's available in future conversations. Triggers: 'remember this', 'save this for later', 'keep track of this', 'store my preferences', 'note this down'. Also use proactively when the user shares project specs, personal preferences, ongoing tasks, or any context they're likely to reference again — even without being asked. Give it a short descriptive key (e.g. 'project-spec', 'user-prefs', 'todo-list'). Saving to the same key overwrites it. Expires in 30 days by default.

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• get_fomc_rate_probability

  Stratalize Crypto and DeFi Intelligence

  Use when providing monetary policy narrative context for a macro brief, investment committee, or CFO rate planning session. Returns illustrative cut, hike, and hold probabilities for the next three FOMC meetings based on current FRED fed funds data. Scenario planning tool — not futures-implied market odds. Example: Hold probability 68% at next meeting, cut probability 31% — conditioned on fed funds at 5.33% and latest CPI print. Source: FRED St. Louis Fed.

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• get_microsite_info

  library

  Identity, audience, focus, sponsor relationship, crisis routing, and links for Psychiatry for Children. Always safe to call when the agent needs site-level context.

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• workflow_specs_run

  Roboflow (Official)

  Execute a Workflow from an inline JSON definition. Unlike ``run_workflow`` which runs a previously saved workflow by ID, this tool accepts a full workflow JSON spec and executes it directly. This is useful for testing workflows before saving them. IMPORTANT: Always call ``workflow_specs_validate`` first to check the definition is valid before running it. IMPORTANT: If processing more than 10 images, spawn a sub-agent to run this tool in the background so the user is not blocked. Returns workflow outputs as defined by the workflow's output blocks.

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