AI agent tool reliability // full index

Categories

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Tools

• review_locales Shipi18n/Shipi18n — Review translation pairs for semantic issues like mistranslations, omissions, and additions using an LLM
• list_devices io.github.saranshbamania/mobile-device-mcp — List all connected Android devices/emulators via ADB
• list_sources BackEngine-ai/BackEngine MCP Server — List sources — transcripts, emails, Slack threads, and tickets.
• list_projects BackEngine-ai/BackEngine MCP Server — List customers and prospects; filter by name, type, etc.
• get_project BackEngine-ai/BackEngine MCP Server — Retrieve a customer or prospect, optionally with its overview.
• get_project_overview BackEngine-ai/BackEngine MCP Server — Pre-computed rolling 12-week summary for a customer or prospect.
• list_signals BackEngine-ai/BackEngine MCP Server — List signals (categorized moments); filter by project, role, and time.
• find_similar_signals BackEngine-ai/BackEngine MCP Server — Semantic search across signals from a natural-language query.
• get_source BackEngine-ai/BackEngine MCP Server — Retrieve a source's content (summary, verbatim, or metadata only).
• list_roles BackEngine-ai/BackEngine MCP Server — List the perspective lenses (e.g. product, sales, CS) used to filter signals.
• find_contacts BackEngine-ai/BackEngine MCP Server — Find contacts by name, email, job title, or project.
• list_signal_speakers BackEngine-ai/BackEngine MCP Server — List who has been speaking across signals.
• septa_rail_arrivals pipeworx-io/mcp-septa — Philadelphia SEPTA Regional Rail departures board for a station — the next trains leaving, grouped Northbound/Southbound with train number,
• septa_next_to_arrive pipeworx-io/mcp-septa — Next SEPTA Regional Rail trains from an origin station to a destination station in Philly — direct trains and connecting itineraries with de
• septa_train_view pipeworx-io/mcp-septa — Live positions of every SEPTA Regional Rail train currently running in the Philadelphia region — train number, line, destination, current an
• septa_bus_positions pipeworx-io/mcp-septa — Live SEPTA bus and trolley vehicle positions for a route in Philadelphia — each vehicle with direction, destination, next stop, minutes late
• septa_alerts pipeworx-io/mcp-septa — SEPTA service alerts, advisories, detours, and suspensions for Philadelphia transit. Pass a route to check one line or omit to list all rout
• get_client Faust-Systems/keycloak-mcp — Retrieves a client's configuration (secrets redacted).
• ensure_hardcoded_claim_mapper Faust-Systems/keycloak-mcp — Reconciles a hardcoded claim protocol mapper toward a desired state (create, update, or dry-run).
• delete_protocol_mapper Faust-Systems/keycloak-mcp — Deletes a protocol mapper from a client (dry-run unless write=true).
• dump_client_secret Faust-Systems/keycloak-mcp — Writes a client's current secret to a local file (read-only, no mutation).
• regenerate_client_secret Faust-Systems/keycloak-mcp — Rotates a client's secret and writes the new value to a local file (dry-run unless write=true).
• executePackageTest LeadDeskOSLight/remote-mcp-server-authless — Tests whether ChatGPT can reach the Lead Desk OS Light MCP server.
• calculate_cagr ritam003-roy/FinResearch MCP — Calculate compound annual growth rate for a financial metric.
• get_sec_company_facts ritam003-roy/FinResearch MCP — Retrieve raw SEC Company Facts for a given ticker.
• get_financial_fact ritam003-roy/FinResearch MCP — Get a specific financial fact from SEC data.
• get_company_financials ritam003-roy/FinResearch MCP — Get normalized annual financial statements for a company.
• get_financial_ratios ritam003-roy/FinResearch MCP — Calculate financial ratios for a company.
• analyze_company ritam003-roy/FinResearch MCP — High-level analysis of a company's financial health.
• ai_analyze_company ritam003-roy/FinResearch MCP — AI-powered company analysis.
• get_dashboard_data ritam003-roy/FinResearch MCP — Get dashboard data for a company.
• index_sec_filing ritam003-roy/FinResearch MCP — Index an SEC filing for RAG retrieval.
• get_company_chart_data ritam003-roy/FinResearch MCP — Get structured chart data for a company's financials.
• compare_companies ritam003-roy/FinResearch MCP — Compare financial metrics across multiple companies.
• calculate_capm_cost_of_equity ritam003-roy/FinResearch MCP — Calculate cost of equity using CAPM.
• calculate_wacc_rate ritam003-roy/FinResearch MCP — Calculate Weighted Average Cost of Capital.
• calculate_dcf_valuation ritam003-roy/FinResearch MCP — Perform DCF valuation with explicit assumptions.
• calculate_enterprise_value ritam003-roy/FinResearch MCP — Calculate enterprise value from market data.
• calculate_equity_value_from_enterprise_value ritam003-roy/FinResearch MCP — Calculate equity value from enterprise value.
• calculate_intrinsic_value_per_share ritam003-roy/FinResearch MCP — Calculate intrinsic value per share.
• run_dcf_sensitivity_analysis ritam003-roy/FinResearch MCP — Run sensitivity analysis on DCF assumptions.
• search_sec_filing_rag ritam003-roy/FinResearch MCP — Search indexed SEC filings using RAG.
• analyze_portfolio ritam003-roy/FinResearch MCP — Analyze a portfolio of companies.
• get_market_snapshot ritam003-roy/FinResearch MCP — Get current market snapshot.
• get_market_price_history ritam003-roy/FinResearch MCP — Get historical market prices.
• export_company_report_markdown ritam003-roy/FinResearch MCP — Export company report in Markdown format.
• export_company_report_pdf ritam003-roy/FinResearch MCP — Export company report in PDF format.
• list_chains io.github.BabyScope/nodeflare — The 23 supported chains with chain IDs and endpoints
• rpc_call io.github.BabyScope/nodeflare — Any JSON-RPC method on any supported chain
• get_block_number io.github.BabyScope/nodeflare — Latest block number
• get_balance io.github.BabyScope/nodeflare — Native-token balance of an address
• get_transaction_receipt io.github.BabyScope/nodeflare — Transaction receipt by hash
• eth_call io.github.BabyScope/nodeflare — Read-only contract call
• get_logs io.github.BabyScope/nodeflare — Contract event logs (heavy — key or x402 wallet)
• lsp_document_symbols elnonathan/Semantic JS MCP — Structure for one file
• lsp_workspace_symbols elnonathan/Semantic JS MCP — Symbol-name discovery
• lsp_references elnonathan/Semantic JS MCP — First page of verified locations
• lsp_audit_symbol elnonathan/Semantic JS MCP — Compact composed summary at a position
• lsp_reference_page elnonathan/Semantic JS MCP — A later page from the same collection
• lsp_definition elnonathan/Semantic JS MCP — Definition resolution at a position
• lsp_diagnostics elnonathan/Semantic JS MCP — Focused diagnostics for one file
• lsp_hover elnonathan/Semantic JS MCP — Inferred type and documentation
• lsp_count_text_matches elnonathan/Semantic JS MCP — Exact identifier text count without semantic verification
• lsp_count_named_symbol elnonathan/Semantic JS MCP — Definition and reference counts by name
• lsp_count_references elnonathan/Semantic JS MCP — Reference counts at a position
• lsp_audit_named_symbol elnonathan/Semantic JS MCP — Compact composed summary by symbol name
• lsp_unresolved_reference_page elnonathan/Semantic JS MCP — Unresolved candidates with locations and literal reasons
• lsp_call_hierarchy elnonathan/Semantic JS MCP — Bounded static incoming or outgoing call graph
• lsp_call_hierarchy_page elnonathan/Semantic JS MCP — Later edges from the freshness-checked call graph
• get_brand_info ncosic/Webotee Amazon Product Research — Get detailed information about a brand including seller landscape, buy box dominance, and market trends.
• get_seller_info ncosic/Webotee Amazon Product Research — Get detailed information about a seller including brands carried, estimated sales, and performance metrics.
• get_asin_info ncosic/Webotee Amazon Product Research — Get detailed information about an ASIN including buy box history, pricing, and sourcing score.
• score_asin_for_fba ncosic/Webotee Amazon Product Research — Score an ASIN for FBA sourcing considering velocity, gating risk, and margin.
• get_brand_attack_status ncosic/Webotee Amazon Product Research — Check if a brand is under attack by new sellers flooding listings.
• compare_price_walmart ncosic/Webotee Amazon Product Research — Compare an ASIN's price on Amazon vs Walmart.
• find_under_competed_niches ncosic/Webotee Amazon Product Research — Find under-competed sub-categories in a given category for sourcing opportunities.
• get_buy_box_history ncosic/Webotee Amazon Product Research — Get buy box ownership history for an ASIN over a specified period.
• find_unauthorized_sellers ncosic/Webotee Amazon Product Research — Find unauthorized sellers for a brand given a list of authorized sellers.
• base_rate edgedepthhq/EdgeDepth Research MCP Server — Counts matches and eligible buckets for one clause over a window.
• get_report edgedepthhq/EdgeDepth Research MCP Server — Retrieves a published report by its 8-character canonical hash.
• run_scan edgedepthhq/EdgeDepth Research MCP Server — Execute a market microstructure scan over the recorded feature registry and return matched occurrences with counts, denominators, and a repr
• next_page edgedepthhq/EdgeDepth Research MCP Server — Retrieve the next page of results from a previous scan or cohort result.
• run_cohort edgedepthhq/EdgeDepth Research MCP Server — Compute a deterministic cohort comparing matched and baseline populations with outcome distributions.
• list_features edgedepthhq/EdgeDepth Research MCP Server — List the closed feature registry (grammar) of available market microstructure fields, operators, windows, and sequence rules.
• interpret_prose edgedepthhq/EdgeDepth Research MCP Server — Translate a natural-language research question into an exact scan definition using the feature registry, without inserting unstated threshol
• list_instruments edgedepthhq/EdgeDepth Research MCP Server — Returns the research universe and coverage. The default is a compact summary; use symbols for selected full records or full for the verbatim
• snapshot_at edgedepthhq/EdgeDepth Research MCP Server — Reads registry feature values, window aggregates, and fired rules as of a recorded moment.
• commonality edgedepthhq/EdgeDepth Research MCP Server — Finds the deterministic intersection across multiple moments with selection-bias caveats included.
• submit_job prathamesh-git9/agent-mesh MCP Server — Submits a goal, drains the mesh, and returns the job
• list_jobs prathamesh-git9/agent-mesh MCP Server — Returns known jobs
• get_job prathamesh-git9/agent-mesh MCP Server — Returns job status and output
• run_sql drash3103/DataPilot AI MCP Server — Executes a read-only SQL query and returns matching records.
• describe_table drash3103/DataPilot AI MCP Server — Returns schema, column types, total row count, and 3 sample records.
• list_tables drash3103/DataPilot AI MCP Server — Returns a JSON list of all active tables in the SQLite database.
• list_maker_trades cessio-cc/cessio-agent-mcp-server — List trades where the agent was the maker.
• get_reference_price cessio-cc/cessio-agent-mcp-server — Get the reference price for an instrument.
• request_faucet cessio-cc/cessio-agent-mcp-server — Request test funds from the faucet.
• create_rfq cessio-cc/cessio-agent-mcp-server — Create a new RFQ (request for quote) as a taker.
• list_my_rfqs cessio-cc/cessio-agent-mcp-server — List the agent's own RFQs.
• get_quotes cessio-cc/cessio-agent-mcp-server — Get quotes for a specific RFQ.

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