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securecoders

Parallect MCP Server

by securecoders

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
PARALLECT_API_KEYYesYour Parallect API key (par_live_...)
PARALLECT_API_URLNoAPI base URL (for self-hosted or dev)https://parallect.ai

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
researchA

Submit a deep research query. Always creates a new research thread. To follow up on existing research, use the follow_up tool instead. Fans out to multiple AI research providers and synthesizes results into a unified report with cross-referenced citations and conflict resolution.

research_statusA

Check the status of a research job. Returns progress for each provider and overall job status.

get_resultsA

Get the synthesized results of a completed research job. Returns the unified report with [src_N] inline citations, a sourceRegistry to resolve those citations to URLs, follow-on suggestions, and cost breakdown. Set includeClaimsJson to get first-class claims with source links and confidence scores.

follow_upB

Pursue a follow-on research question from a completed job's suggestions, or ask a custom follow-up in the same thread.

list_threadsC

List recent research threads for the authenticated user.

get_threadA

Get a specific research thread with all messages, jobs, and results.

balanceB

Check current credit balance and optionally view recent transactions.

usageB

Get usage analytics: spend by provider, job count, average cost per query.

list_providersA

List available research providers, their models, capabilities, and the default provider assignments per budget tier.

search_claimsB

Search for claims across research jobs. Can search by text content, filter by confidence level, or list all claims for a thread.

get_claim_evidenceB

Get the full evidence chain for a specific claim, including all supporting sources, their URLs, snippets, and the claim's history of events.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.4/5.0

Scored across 11 tools

Disambiguation4/5

Tools target distinct stages of the research lifecycle and the descriptions explicitly resolve the riskiest overlap (research creates a new thread vs follow_up continues an existing one; research_status vs get_results distinguish progress from output). The only mild overlap is usage (spend analytics) versus balance (credit balance), but both descriptions make the boundary clear.

Naming Consistency3/5

All names are snake_case, but verb styles are mixed: some are verb_noun (get_results, list_threads, search_claims, get_claim_evidence), some are bare nouns (research, usage, balance), and one is noun_status (research_status). It remains readable, but the pattern is not predictable.

Tool Count5/5

Eleven tools sit squarely in the well-scoped 3-15 range. Each tool maps to a distinct capability (submit, poll, retrieve, follow up, browse threads, inspect claims, list providers, view spend/balance) with no filler.

Completeness4/5

The surface covers the full research lifecycle: submission, status polling, result retrieval, follow-ups, thread history, claim/evidence inspection, provider listing, and usage/billing. Minor gaps exist (no explicit cancel-job or delete-thread operation), but agents can work around these.