raster_convertgdal-mcp — Convert a raster file to a different format.
raster_reprojectgdal-mcp — Reproject a raster file to a new coordinate reference system.
raster_statsgdal-mcp — Compute statistics for a raster file.
vector_infogdal-mcp — Get metadata about a vector file.
find_agentio.github.enrichgateagent-png/beacon-mcp — Search agents by capability/task
top_agentsio.github.enrichgateagent-png/beacon-mcp — Most-starred / highest-reputation agents in the index
agent_detailsio.github.enrichgateagent-png/beacon-mcp — Full detail for one agent by id
memory_setio.github.enthrium/oe-mcp — Store a key-value pair in persistent memory
memory_getio.github.enthrium/oe-mcp — Retrieve a value from persistent memory by key
memory_listio.github.enthrium/oe-mcp — List all stored memory key-value pairs
memory_deleteio.github.enthrium/oe-mcp — Delete a memory entry by key
approve_chainio.github.enthrium/oe-mcp — Approve a manual agent chain execution
log_listio.github.enthrium/oe-mcp — List action log entries
log_cleario.github.enthrium/oe-mcp — Clear the action log
run_agentio.github.enthrium/oe-mcp — Execute an OE Runtime YAML agent
edit_treemodelchoice-mcp — Tweak an existing tree — change probabilities, payoffs, labels, or the objective, add or remove whole options/outcomes (add_option / add_bra
set_input_distributionmodelchoice-mcp — Make a tree input uncertain — put a ModelRisk Vose* distribution on a branch's cash flow or probability (like typing a distribution into the
build_control_panelmodelchoice-mcp — Lift the tree's inputs into a control panel at the top of the sheet — every probability and cash flow as a labelled cell, with the tree link
export_tree_jsonmodelchoice-mcp — Round-trip a tree's raw ModelChoice JSON — export to save/share/version.
import_tree_jsonmodelchoice-mcp — Round-trip a tree's raw ModelChoice JSON — import (validated) to write it back into a workbook.
import_precisiontreemodelchoice-mcp — Import a PrecisionTree workbook (.xls/.xlsx) into ModelChoice — converts a copy (original untouched). Drives MC_ImportPrecisionTree_Auto.
read_sheetmodelchoice-mcp — Read a result sheet's cells back (numbers / text), e.g. the robustness verdict or a sensitivity report.
build_treemodelchoice-mcp — Build a tree from a structured description and write it into Excel (dry-run by default). Validates + rolls it back so you confirm the recomm
open_workbookmodelchoice-mcp — Open a workbook (.xlsx) from disk in the running Excel so the other tools can act on it. Reports its sheets + any ModelChoice tree sheets; r
run_evpimodelchoice-mcp — Expected Value of Perfect Information for the active tree — the most you'd pay for perfect information before deciding. Drives ModelChoice's
run_risk_profilemodelchoice-mcp — The outcome distribution for each decision option — expected value, min, max, std dev, plus the cumulative-probability table. Shows downside
build_mcdamodelchoice-mcp — Build a multi-criteria (MCDA) model — for choices that aren't pure money. Give the tree + criteria (ordinal options, weights, direction), ag
close_workbookmodelchoice-mcp — Close an open workbook by file name (counterpart to open_workbook). Discards unsaved changes by default; pass save=True to save first.
list_treesmodelchoice-mcp — List the decision trees in a workbook with node-type counts.
get_treemodelchoice-mcp — Full structure of one tree — decision / chance / terminal nodes, branches, probabilities, values.
roll_upmodelchoice-mcp — Roll the tree back to its expected values and optimal policy — the decision recommendation, in plain English.
verify_rollbackmodelchoice-mcp — Cross-check our rollback against the MC_V_<id> cells ModelChoice itself wrote — a correctness guarantee when the tree has been rendered.
run_scenariosmodelchoice-mcp — What-if comparison — give named scenarios (bundles of input changes); each is rolled back and compared to the baseline (EV, optimal decision
run_utilitymodelchoice-mcp — Apply a risk attitude (utility function) — returns the certainty equivalent, risk premium, and the optimal decision under risk aversion (can
run_eviimodelchoice-mcp — Expected Value of Imperfect Information for a specific test — pass the target chance node and a likelihood matrix P(signal|state); returns E
run_decision_reportmodelchoice-mcp — Run a report — strategy_table, policy_suggestion, decision_brief, mcda_report, or force_to_outcome — and read it back (rows + label→value pa
run_analysismodelchoice-mcp — Run any decision-analysis (robustness, sensitivity, strategy_table, policy_suggestion, decision_brief, mcda_report, risk_profile, evpi) and
run_robustnessmodelchoice-mcp — Run the robustness ("break the decision") analysis and return a structured read — verdict, score, and the minimum input change that flips th
run_sensitivitymodelchoice-mcp — Run one-way sensitivity and return the tornado-ordered report (which assumptions the decision is most sensitive to) + baseline EV + sheets.
license_statusmodelchoice-mcp — Report the ModelChoice licence state (licensed / trial / expired / not activated). Building and analysis actions require a full licence; rea
generate_imagemodelscope-image-gen-mcp — Generate an image from a text prompt using ModelScope models
generate_imagemodelscope-image-mcp — Creates an image from a text prompt using the ModelScope async API.
generate_imagemodelscope-mcp-server — Generate images from text prompts or transform existing images using AIGC models
get_context_infomodelscope-mcp-server — Access current operational context including authenticated user information and environment details
get_mcp_server_detailsmodelscope-mcp-server — Get comprehensive details for a specific MCP server
search_modelsmodelscope-mcp-server — Search and discover ModelScope models with advanced filtering
search_datasetsmodelscope-mcp-server — Search and discover ModelScope datasets with advanced filtering
search_studiosmodelscope-mcp-server — Search and discover ModelScope studios (AI apps) with advanced filtering
search_papersmodelscope-mcp-server — Search and discover ModelScope research papers with advanced filtering
search_mcp_serversmodelscope-mcp-server — Search and discover ModelScope MCP servers with advanced filtering
get_model_detailsmodelscope-mcp-server — Get comprehensive details for a specific model
get_dataset_detailsmodelscope-mcp-server — Get comprehensive details for a specific dataset
get_studio_detailsmodelscope-mcp-server — Get comprehensive details for a specific studio
get_paper_detailsmodelscope-mcp-server — Get comprehensive details for a specific research paper
search_modelsmodel-tree-mcp — Devolve os modelos mais próximos da situação descrita, cada um com seus campos e o stat_fit.
analyze_datasetmodel-tree-mcp — Orquestra a recomendação a partir de um dataset local: investiga, faz EDA e recomenda 3-4 modelos com tradeoffs.
remembermode-manager-mcp — Store a memory (personal, team, or language-specific) for the AI assistant.
recallmode-manager-mcp — Retrieve memories based on a query.
forgetmode-manager-mcp — Delete a specific memory by its ID.
optimize_memoriesmode-manager-mcp — Consolidate and organize memories to keep them clean and efficient.
list_memoriesmode-manager-mcp — List all memories, optionally filtered by scope.
smart_fetchmodexia-mcp — Legacy HTTP auto-negotiation for HTTP-based Paywalls.
nanopaymodexia-mcp — Auto-negotiate and pay for 402 Payment Required URLs using EIP-3009 offline signatures.
consume_channelmodexia-mcp — Execute instant, gas-free micro-payments inside an open channel.
nanopay_activatemodexia-mcp — One-time activation command to enable Circle Gateway nanopayments for the agent.
nanopay_depositmodexia-mcp — Deposit funds from the main agent wallet to the nanopayment Gateway.
nanopay_withdrawmodexia-mcp — Withdraw unused funds from the Gateway back to the main wallet.
submit_intentmodexia-mcp — Execute a standard USDC payment with compliance and policy enforcement.
get_intentmodexia-mcp — Retrieve the status and compliance metadata of a previously submitted payment intent.
nanopay_balancemodexia-mcp — Check the True Available Balance (Gateway deposits minus pending signatures).
list_intentsmodexia-mcp — Fetch recent payment intents for audit trail review.
open_channelmodexia-mcp — Lock funds into a smart contract for high-frequency micro-transactions.
settle_channelmodexia-mcp — Close the vault and distribute funds on-chain.
get_channelmodexia-mcp — Check the current capacity and state of a specific payment channel.