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650,440 tools. Updated 2026-10-13 08:01

"Tools for Creating SWOT Analyses, Competitive Positioning Matrices, and Value Chains" matching MCP tools:

  • 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" } }
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  • Fetch curated high-value prompt templates and multi-tool question workflows. Call this tool whenever you want to suggest high-value questions to the user, or when the user asks "what can you do?", "what should I ask?", or wants guided astrology workflows (e.g. Sade Sati analysis, timeline forecast, dasha transitions, chart strength, school comparisons, timing windows). Args: category: Optional category filter. One of 'all', 'Core Reading', 'Timing & Transits', 'Career & Wealth', 'Strengths & Accuracy', 'Relationships', 'Daily & Remedies'. Names are matched case-insensitively; an unrecognised one is an error listing the valid names, never a silent empty result. include_full_templates: Set to True to retrieve the full expanded prompt text. Defaults to False for compact workflow titles and tool chains. Returns a structured catalog of prompt templates with their titles, descriptions, required arguments, and which underlying tools they chain.
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  • Meta-tool that CHAINS multiple MCP tools sequentially into a named workflow — delivering a composite output in a single call. 10 predefined workflows: compliance_full_audit (6 steps: KYC+sanctions+AI_gov+privacy+ESRS+CSRD), deal_due_diligence (7 steps: deep_dive+registry+court+patents+KYC+financials+M&A), market_entry_brief (6 steps: country_study+regulations+procurement+tax+AGOA+market_brief), competitor_intelligence_pack (5 steps: deep_dive+intel+patents+earnings+pitch_deck), esg_360 (5 steps: ESG_audit+carbon+CSRD+ESRS+supplier_esg), ip_freedom_to_operate (4 steps: patent_search+async_deep+IP_audit+competitive), climate_property_assessment (3 steps: climate_risk+real_estate+geo), pharma_target_screen (4 steps: trials+adverse_events+patents+meta_analysis), sanctions_360 (5 steps: KYC+Russian_sec+registry+crypto_wallet+court_filings), talent_market_brief (4 steps: salary+trends+adjacent_roles+skills_taxonomy). Returns steps_executed, consolidated P0/P1/P2 signals, overall_status, estimated_cost_usd, and raw outputs per step. Cache: 1h LRU per (workflow, target). Budget: 60s global timeout → partial if exceeded. Use when an agent needs a composite liverable without orchestrating tools manually.
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  • Meta-tool that CHAINS multiple MCP tools sequentially into a named workflow — delivering a composite output in a single call. 10 predefined workflows: compliance_full_audit (6 steps: KYC+sanctions+AI_gov+privacy+ESRS+CSRD), deal_due_diligence (7 steps: deep_dive+registry+court+patents+KYC+financials+M&A), market_entry_brief (6 steps: country_study+regulations+procurement+tax+AGOA+market_brief), competitor_intelligence_pack (5 steps: deep_dive+intel+patents+earnings+pitch_deck), esg_360 (5 steps: ESG_audit+carbon+CSRD+ESRS+supplier_esg), ip_freedom_to_operate (4 steps: patent_search+async_deep+IP_audit+competitive), climate_property_assessment (3 steps: climate_risk+real_estate+geo), pharma_target_screen (4 steps: trials+adverse_events+patents+meta_analysis), sanctions_360 (5 steps: KYC+Russian_sec+registry+crypto_wallet+court_filings), talent_market_brief (4 steps: salary+trends+adjacent_roles+skills_taxonomy). Returns steps_executed, consolidated P0/P1/P2 signals, overall_status, estimated_cost_usd, and raw outputs per step. Cache: 1h LRU per (workflow, target). Budget: 60s global timeout → partial if exceeded. Use when an agent needs a composite liverable without orchestrating tools manually.
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  • Meta-tool that CHAINS multiple MCP tools sequentially into a named workflow — delivering a composite output in a single call. 10 predefined workflows: compliance_full_audit (6 steps: KYC+sanctions+AI_gov+privacy+ESRS+CSRD), deal_due_diligence (7 steps: deep_dive+registry+court+patents+KYC+financials+M&A), market_entry_brief (6 steps: country_study+regulations+procurement+tax+AGOA+market_brief), competitor_intelligence_pack (5 steps: deep_dive+intel+patents+earnings+pitch_deck), esg_360 (5 steps: ESG_audit+carbon+CSRD+ESRS+supplier_esg), ip_freedom_to_operate (4 steps: patent_search+async_deep+IP_audit+competitive), climate_property_assessment (3 steps: climate_risk+real_estate+geo), pharma_target_screen (4 steps: trials+adverse_events+patents+meta_analysis), sanctions_360 (5 steps: KYC+Russian_sec+registry+crypto_wallet+court_filings), talent_market_brief (4 steps: salary+trends+adjacent_roles+skills_taxonomy). Returns steps_executed, consolidated P0/P1/P2 signals, overall_status, estimated_cost_usd, and raw outputs per step. Cache: 1h LRU per (workflow, target). Budget: 60s global timeout → partial if exceeded. Use when an agent needs a composite liverable without orchestrating tools manually.
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  • List the 23 divisional (varga) charts available via 'get_divisional_chart'. Returns, for each chart, the 'request_as' value to pass as the 'varga' argument (e.g. 'D-9'), its 'name' (e.g. Navamsa) and 'purpose' (what life area it analyses — marriage, career, children, etc.). Use this to choose the right chart for a question, then call 'get_divisional_chart' with that varga. Takes no birth details. Data only — no interpretation is included.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables MCP hosts to validate drafts against a company's versioned positioning pack through read-only tools for positioning context, content briefs, content checks, and explanation of findings.
    MIT

Matching MCP Connectors

  • SEC filings, patent data, and trade data. 4 competitive intel tools.

  • Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.

  • The same token's balance for one address across multiple EVM chains, in a single call. USDC (and similar assets) has a DIFFERENT contract address on every chain; checking a wallet's total position means resolving each chain's canonical address and querying it separately. This does that and sums the total, so a multi-chain treasury view does not require N separate calls. Supported chains: base, ethereum, optimism, arbitrum, polygon. Supported tokens: USDC (more may be added over time). When to use: totaling a stablecoin position spread across chains, treasury reporting for a multi-chain operation, checking where a wallet's funds actually sit. When NOT to use: you only care about one chain (use onchain_token_balances, which is cheaper), or a token not in the supported set. Args: - address (string, required): the wallet address to check. - token (string, optional, default "USDC"): which token to check across chains. - chains (string[], optional): which chains to include. Defaults to all five supported chains. Returns structuredContent: { "address": "0x...", "token": { "symbol": "USDC", "decimals": 6 }, "totalBalance": "1234.56", "chains": [ { "chain": "base", "chainId": 8453, "raw": "1000000000", "balance": "1000", "failed": false }, { "chain": "ethereum", "chainId": 1, "raw": "234560000", "balance": "234.56", "failed": false } ] } A chain that could not be read reports failed: true with null balances rather than a misleading 0; if every chain fails the call errors and is not billed.
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  • Current gas price across multiple EVM chains in a single call. Reads eth_gasPrice on every requested chain in parallel and returns gwei, so you do not have to query each chain's RPC separately and convert units yourself. Supported chains: base, ethereum, optimism, arbitrum, polygon. When to use: choosing the cheapest chain to transact on right now, cost estimation before submitting a transaction, monitoring for a low-gas window. When NOT to use: you need an EIP-1559 fee breakdown (base fee vs priority fee) rather than a single legacy gas price, or historical gas data. Args: - chains (string[], optional): which chains to check. Defaults to all five supported chains. Returns structuredContent: { "chains": [ { "chain": "base", "chainId": 8453, "gasPriceGwei": 0.006 }, { "chain": "ethereum", "chainId": 1, "gasPriceGwei": 0.0986 }, { "chain": "polygon", "chainId": 137, "gasPriceGwei": 278.97 } ], "source": "Live RPC eth_gasPrice, each chain's public network" } A chain whose RPC could not be reached returns gasPriceGwei null rather than a stale or fabricated value; if every requested chain fails the call errors and is not billed.
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  • Credit-risk engine (IFRS 9 / HKFRS 9). Compute 12-month, lifetime, and staged expected credit loss, PD/LGD/EAD, provision matrices, hazard rates, and CVA/DVA. Use this for impairment, fair-value credit adjustment, and loan-loss provisioning; for the credit component of a specific convertible bond use calculate_convertible_bond, and for liquidity, control or marketability discounts rather than credit loss use calculate_fair_value_adjustment. Methods: ecl_12m: ead, pd, lgd; ecl_lifetime: ead, pd_lifetime, lgd; ecl_staged: ead, pd_12m, pd_lifetime, lgd, stage; provision_matrix: receivables_ageing, loss_rates; pd_from_spread: credit_spread, recovery, tenor_years; cumulative_pd: annual_pd, years; hazard: hazard_rate, tenor_years; cva_dva: exposure_profile, pd, lgd, discount_rate. Supply exactly one method with its declared inputs (no defaults). An unknown method, a missing input, or an extra field returns an error envelope (code INVALID_ARGUMENT) instead of raising.
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  • Run market positioning analysis on a CV version (5 credits, takes 20-30s). Returns positioning snapshot, detected narrative lens, recruiter inference, mixed signal flags, and a session_id. This is step 1 of the 3-step positioning pipeline: analyze_positioning -> ceevee_get_opportunities(lens) -> ceevee_confirm_lens. Pass the returned session_id to subsequent steps. cv_version_id from ceevee_upload_cv or ceevee_list_versions.
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  • Gold-standard competitive deep dive — STRUCTURED multi-source data (no LLM narrative). Pair tool: `competitor_intel` for LLM-narrated board briefing + slide script. Aggregates Wikipedia, Yahoo Finance, SEC EDGAR, Wayback Machine, DuckDuckGo, HackerNews, domain scraping — all keyless. Returns agent-shaped JSON: KPIs (funding, employees, revenue, market cap), P0/P1/P2 competitive signals, pricing radar, competitor comparison matrix, Wayback timeline, positioning (sector/industry/icp_hypothesis/moat_signals), quality score. Every field is sourced or marked unavailable — no hallucinated figures. SLA: p50 ~25s, p95 ~30s · score 80+ on listed targets (US/EU/foreign) · score ~40 on private companies (no EDGAR/Yahoo data). Use sync for batch agents (≤30s tolerance). Use `competitive_deep_dive_async` + `competitive_deep_dive_result(job_id)` for conversational agents. Inputs: company name or domain (required), optional competitor list (≤5), optional depth (easy/medium/hard).
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  • Gold-standard competitive deep dive — STRUCTURED multi-source data (no LLM narrative). Pair tool: `competitor_intel` for LLM-narrated board briefing + slide script. Aggregates Wikipedia, Yahoo Finance, SEC EDGAR, Wayback Machine, DuckDuckGo, HackerNews, domain scraping — all keyless. Returns agent-shaped JSON: KPIs (funding, employees, revenue, market cap), P0/P1/P2 competitive signals, pricing radar, competitor comparison matrix, Wayback timeline, positioning (sector/industry/icp_hypothesis/moat_signals), quality score. Every field is sourced or marked unavailable — no hallucinated figures. SLA: p50 ~25s, p95 ~30s · score 80+ on listed targets (US/EU/foreign) · score ~40 on private companies (no EDGAR/Yahoo data). Use sync for batch agents (≤30s tolerance). Use `competitive_deep_dive_async` + `competitive_deep_dive_result(job_id)` for conversational agents. Inputs: company name or domain (required), optional competitor list (≤5), optional depth (easy/medium/hard).
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  • Gold-standard competitive deep dive — STRUCTURED multi-source data (no LLM narrative). Pair tool: `competitor_intel` for LLM-narrated board briefing + slide script. Aggregates Wikipedia, Yahoo Finance, SEC EDGAR, Wayback Machine, DuckDuckGo, HackerNews, domain scraping — all keyless. Returns agent-shaped JSON: KPIs (funding, employees, revenue, market cap), P0/P1/P2 competitive signals, pricing radar, competitor comparison matrix, Wayback timeline, positioning (sector/industry/icp_hypothesis/moat_signals), quality score. Every field is sourced or marked unavailable — no hallucinated figures. SLA: p50 ~25s, p95 ~30s · score 80+ on listed targets (US/EU/foreign) · score ~40 on private companies (no EDGAR/Yahoo data). Use sync for batch agents (≤30s tolerance). Use `competitive_deep_dive_async` + `competitive_deep_dive_result(job_id)` for conversational agents. Inputs: company name or domain (required), optional competitor list (≤5), optional depth (easy/medium/hard).
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  • Compare blockchain ecosystem health via DeFiLlama: current TVL, 7/30-day TVL change, and aggregate fee activity. Pass chains such as ['Ethereum', 'Arbitrum', 'Solana'] for a focused comparison, or omit chains to inspect the highest-TVL ecosystems. Use when: Use for ecosystem-level comparisons — which chains are growing, where fee activity concentrates, or how a chain's TVL trended. For a single protocol's economics use get_protocol_tvl instead. Limitations: Third-party DeFiLlama analytics; historical and fee fields fail open (null) for uncovered chains. Not a real-time measure of chain throughput or security. Alternatives: get_protocol_tvl, get_dex_volume
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  • Search PPT Depot's catalog of consulting-grade PowerPoint template decks by keyword (name, headline, description, and the titles and tags of the slides inside each deck). Optional category filter. Returns relevance-ranked templates with page URL, cover image, slide count, and cart URL. Use this first to find a template_id for get_template. For individual slides or frameworks (for example "SWOT matrix" or "issue tree"), use search_slides.
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  • Browse the analyses you can run: the ones you commissioned plus the platform Standard Library (prebuilt tools; each result tagged source:'own' or 'standard_library'). Plain-language match; no query lists everything, your own first. Nothing fits? Commission it with path_resolver.
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  • Every bonding-curve market this gateway can sell, across all chains it serves, with its ticker, chain, curve address and whether it is currently tradable. Free. Start here: the buy tools require a ticker and deliberately have no default.
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  • List all EVM chain slugs and Blockscout host URLs supported by this pack (20+ chains: eth, polygon, arbitrum, base, optimism, bnb, gnosis, zksync-era, etc.). Use to discover valid chain values for other tools.
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  • Compare blockchain ecosystem health via DeFiLlama: current TVL, 7/30-day TVL change, and aggregate fee activity. Pass chains such as ['Ethereum', 'Arbitrum', 'Solana'] for a focused comparison, or omit chains to inspect the highest-TVL ecosystems. Use when: Use for ecosystem-level comparisons — which chains are growing, where fee activity concentrates, or how a chain's TVL trended. For a single protocol's economics use get_protocol_tvl instead. Limitations: Third-party DeFiLlama analytics; historical and fee fields fail open (null) for uncovered chains. Not a real-time measure of chain throughput or security. Alternatives: get_protocol_tvl, get_dex_volume
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  • List the BlockchainAnalysis MCP tools, the chains each supports, and pricing. Call this first to discover what the server can do (and which calls are free vs paid) before invoking a tool. Free.
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  • List configured EVM orderbook chains, split into `tradeable` (orderbook URL configured; only route get_quote/build_order to these) and `paused` (no configured orderbook URL, so those tools reject the chain). This is configuration, not a live health or liquidity check. The standalone app's externally funded NEAR networks are not orderbook chains. Each tradeable chain includes its orderbook host, GPv2Settlement contract (Optimism, Unichain, Robinhood Chain, and Arc are non-canonical), and canonical Ophis fee config. No input.
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