"author:alphaparkinc" matching MCP servers:

Enables users to compute European option prices and sensitivity metrics, run Monte Carlo GBM simulations, calculate historical/parametric VaR/CVaR, evaluate bond duration and convexity, and interpolate Nelson-Siegel yield curves through MCP.

Enables long-horizon autonomous task checkpointing and resumption through cryptographic event-sourced state persistence, idempotency key deduplication, timeout heartbeats, human-in-the-loop pause/resume tokens, and fail-safe recovery.

Enables users to simulate quantum circuits, evolve qubit state vectors, apply gates such as Hadamard and CNOT, perform Born-rule projective measurements with Monte Carlo shot histograms, and run Grover amplitude amplification through MCP-compatible clients.

Enables AI agents to coordinate atomic distributed transactions across a swarm through a prepare/vote phase, unanimous commit-or-abort consensus, quorum validation, and failure recovery. It also layers in vector-clock causal stamping, LWW CRDT reconciliation, and gossip dissemination so multi-node state converges deterministically without external dependencies.

Enables agents to perform Schnorr zero-knowledge identification and cryptographic attestation through a native MCP interface, including commitment-challenge-response proofs, JWT validation, Merkle inclusion checks, and replay protection.

Enables running second-price Vickrey auctions that match consumer query intent with brand bids while preserving organic recommendation neutrality. It integrates as a zero-dependency MCP server for agentic commerce and privacy-preserving ad monetization workflows.

Enables MCP clients to run bounded epidemic dissemination, causal ordering, conflict-free state merging, and quorum-based transaction coordination across autonomous agent swarms.

Enables agents to synthesize multi-tab enterprise spreadsheet financial models, detect circular references, compile formula dependency DAGs with functions like SUMIFS/XLOOKUP/CAGR/NPV, and evaluate deterministic preview cell matrices.

Enables clients to optimize prompt prefix caching by matching longest common token prefixes with a radix trie, eliminating redundant prefill computation and reducing time-to-first-token.

Enables agents to track causal relationships, reconcile concurrent state changes, and coordinate consensus across distributed networks using vector clocks, CRDTs, gossip, and quorum-based protocols.

Enables converting Markdown and HTML tables into structured JSON records with automatic column type inference and format normalization. It also offers supporting web-agent primitives such as DOM semantic pruning, form field auto-mapping, and execution trajectory evaluation, all via a zero-dependency MCP server.

Enables real-time multi-merchant price comparison, coupon stacking, delivery-speed trade-offs, stock volatility tracking, and optimal purchase routing for cross-platform commerce inventory arbitrage.

Enables agents and applications to scan text streams for personally identifiable information, financial account numbers, JWT tokens, and cryptographic keys, returning sanitized output with deterministic zero-leakage masking. It runs as a zero-dependency MCP stdio server or importable Python module so regulatory compliance policies (GDPR/HIPAA-style) can be enforced on data before it leaves a workflow.

It enables autonomous browsing clients to canonically compress rendered HTML into compact semantic trees, filter navigation traps, bind webform schemas, transform tables into typed records, and score interaction trajectories. Its tools operate locally over stdio with no runtime third-party requirements.

Enables extraction of subject-predicate-object triples from text and multi-hop reasoning over connected data, producing Cypher and JSON-LD outputs for agent memory, vector search, and retrieval-augmented generation workflows.

Enables cryptographic chunk hashing, reverse claim-to-source attribution, clearance boundary validation, and provenance audit trails for enterprise knowledge graphs to combat hallucinations.

Enables agents to synthesize typed MCP tool schemas at runtime, validate Python ASTs for unsafe imports, compile sandboxed callable handlers, and hot-plug them into an active MCP runtime. It provides a zero-dependency, standard-library-only MCP server for safe just-in-time tool creation and execution.

Enables agents to run zero-dependency statistical modeling and data analysis through MCP, including multivariate linear regression via gradient descent, anomaly detection, time-series forecasting, hypothesis testing, and PCA dimensionality reduction.

Enables agents to ingest carrier webhook events, track stalled or failed shipments, evaluate compensation eligibility, and emit structured merchant claim payloads over MCP. It runs as a zero-dependency Python JSON-RPC stdio server or importable module for post-purchase dispute arbitration.

Enables simulation of quantum circuits, including state-vector evolution, entanglement, measurement, and Grover amplitude amplification for unstructured search tasks through MCP-compatible AI assistants.