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Infinite Context (ICX) MCP Server

Infinite Context (ICX) — 영구 메모리 MCP 서버

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Calera Labs Infinite Context (ICX) 공식 Model Context Protocol (MCP) 커넥터입니다. AI 에이전트(Claude Desktop, Cursor, VS Code, Zed 및 맞춤형 자율 스웜)를 Volumetric Lattice Network의 영구적이고 준 2차(sub-quadratic) 위상 메모리에 직접 연결합니다.

"무제한 컨텍스트. 손실 없는 메모리."


⚡ 순진한 1M+ 컨텍스트 윈도우보다 ICX가 나은 이유

  • 제로 어텐션 확산(Zero Attention Diffusion): 수백만 개의 토큰을 밀집 어텐션에 채워 넣어 모델이 Lost-in-the-Middle 성능 저하를 겪게 하는 대신, ICX는 지식을 영구적인 $A_4$ 단순 복합체 격자 노드(icx_remember)로 결정화합니다.

  • 2026-07-28 무상태 프로토콜 코어: 2026-07-28 무상태 MCP 사양(SEP-2243, SEP-2575, SEP-2549)을 완전히 준수하며, 지능형 캐싱(ttlMs: 86400000)과 함께 5ms 미만의 제로 핸드셰이크 직접 도구 호출을 지원합니다.

  • 5ms 미만 범위 제한 회상(Scoped Recall): 측지선 연관 검색이 검증된 사실 문장과 축어적 인용문을 간결한 번호가 매겨진 뷰포트(icx_recall_scoped)로 반환합니다.

  • 벤치마크 출처:

    • 128k 컨텍스트에서 RULER MRCR v2 96.28% (466/484 정확 일치).

    • LongBench v2 공식 벤치마크 54.87% (276/503).

    • 컨텍스트 뷰포트 전반에 걸쳐 51.98% 노이즈 감소.

  • 스트리밍 가능한 호스팅 엔드포인트: 로컬 모델 다운로드가 필요 없습니다. dashboard.caleralabs.com의 API 키로 스트리밍 HTTP/SSE를 통해 연결하세요.


Related MCP server: Mnemexa MCP

🚀 1-Click 빠른 시작 통합

1. Cursor IDE

프로젝트의 .cursor/mcp.json(또는 전역 Cursor 설정 → 기능 → MCP)에 다음을 추가하세요:

{
  "mcpServers": {
    "infinite-context": {
      "url": "https://icx.caleralabs.com/mcp",
      "headers": {
        "X-License-Key": "clabs_live_YOUR_KEY",
        "X-Space-ID": "default"
      }
    }
  }
}

(무료 API 키는 dashboard.caleralabs.com에서 받으세요)


2. Claude Desktop

claude_desktop_config.json에 다음을 추가하세요:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

  • Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "infinite-context": {
      "url": "https://icx.caleralabs.com/mcp",
      "headers": {
        "X-License-Key": "clabs_live_YOUR_KEY"
      }
    }
  }
}

3. Smithery CLI (1-Click 터미널 명령)

Smithery를 사용하여 Claude, Cursor 또는 VS Code에 자동으로 설치하세요:

# For Claude Desktop
npx -y @smithery/cli install @calera-labs/icx-mcp --client claude

# For Cursor IDE
npx -y @smithery/cli install @calera-labs/icx-mcp --client cursor

# For VS Code
npx -y @smithery/cli install @calera-labs/icx-mcp --client vscode

4. VS Code / GitHub Copilot

.vscode/mcp.json에 다음을 추가하세요:

{
  "servers": {
    "infinite-context": {
      "url": "https://icx.caleralabs.com/mcp",
      "headers": {
        "X-License-Key": "clabs_live_YOUR_KEY"
      }
    }
  }
}

5. Stdio 게이트웨이 프록시(에어갭 / CLI)

환경이 로컬 stdio 하위 프로세스만 지원하는 경우:

{
  "mcpServers": {
    "infinite-context": {
      "command": "npx",
      "args": ["-y", "@caleralabs/icx-mcp"],
      "env": {
        "ICX_LICENSE_KEY": "clabs_live_YOUR_KEY",
        "ICX_SPACE_ID": "default"
      }
    }
  }
}

🛠️ 인증 MCP 도구 참조

도구

용도

주요 입력

동작

icx_remember

텍스트, 코드, 결정 사항 및 문서를 영구 장기 메모리에 저장합니다.

text (필수), space_id, filename, family

추가적 & 비파괴적

icx_recall_scoped

QA를 위한 근거 있는 사실과 출처 인용을 검색하기 위해 메모리 전체에서 의미론적 검색을 수행합니다.

query (필수), space_id, top_k

읽기 전용

icx_search_facts

어휘 탐색 및 토큰 조회를 위해 메모리 노드에서 키워드 및 엔티티 검색을 수행합니다.

query (필수), space_id, limit

읽기 전용

icx_quote_slot

문서 레지스터에서 문자 단위로 정확한 축어적 텍스트와 SHA-256 해시를 검색합니다.

family (필수), index (필수), space_id

읽기 전용

icx_inspect_space

활성 노드, 총 시냅스, 근거 있는 사실 및 모순 경보와 같은 진단 원격 측정을 반환합니다.

space_id (선택)

읽기 전용

icx_reset_session

모든 기본 영구 메모리를 보존하면서 대화 턴 기록을 지웁니다.

space_id (선택)

세션만 변경


🤖 권장 에이전트 시스템 지침

자율 에이전트가 아키텍처 결정을 체계적으로 저장하고 근거 있는 컨텍스트를 회상하도록 하려면 에이전트의 시스템 프롬프트에 다음 블록을 추가하세요:

Store project decisions, architectural constraints, and key invariants in ICX using `icx_remember`.
Before answering historical codebase questions or resolving complex dependencies, use `icx_recall_scoped` to retrieve exact grounded facts.

📚 리소스 및 문서


🔗 관련 Calera MCP 서버


📄 라이선스

Apache License 2.0. 자세한 내용은 LICENSE를 참조하세요. Calera Labs에서 제작했습니다.

Available Tools

6 tools
icx_inspect_spaceInspect Memory Space TelemetryA
Read-only

Audits and retrieves real-time telemetry for a partitioned memory space (active node count, total synapses, grounded facts count, memory state, and contradiction alarms). Use this tool to monitor memory health, verify ingestion, or inspect space capacity. Read-only with no side effects.

ParametersJSON Schema
NameRequiredDescriptionDefault
space_idNoOptional memory space partition to inspect. Defaults to caller default space.

Output Schema

ParametersJSON Schema
NameRequiredDescription
stateYesdescription=Memory space state (active | idle)
statusYesdescription=Space inspection status
space_idYesdescription=Target memory space partition
active_nodesYesdescription=Active topological simplicial nodes
total_synapsesYesdescription=Total learned neural synapses
grounded_facts_countYesdescription=Total decoded grounded facts
contradictions_detectedYesdescription=Contradiction alarms in space

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already include readOnlyHint=true, and the description reinforces with 'Read-only with no side effects.' It adds value by declaring the tool performs an 'audit' with real-time telemetry, which signals a non-mutating inspection. No contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences: the first lists the tool's outputs and actions, the second gives use cases and safety. No filler words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool is simple with one optional parameter, has an output schema (so return values are already documented), and annotations cover read-only safety. Description covers health monitoring and verification cases, which is complete for this scope.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for the single optional parameter. The description mentions 'defaults to caller default space' which echoes schema, but does not add new detail beyond that. Baseline 3 is appropriate since schema fully documents the param.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('Audits and retrieves') on a specific resource ('partitioned memory space'), and lists specific telemetry items ('active node count, total synapses, grounded facts count, memory state, and contradiction alarms'). It clearly distinguishes from siblings which focus on recall, search, and session operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

States when to use: 'monitor memory health, verify ingestion, or inspect space capacity.' Does not explicitly name alternatives or when not to use, but the use cases are clear given sibling tools have distinct functions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

icx_quote_slotVerbatim Register QuotingA
Read-only

Retrieves exact character-for-character verbatim text quotes from stored document registers by document family and ordinal slot index. Use this tool when exact contractual wording, legal clauses, or code revisions must be quoted without AI paraphrasing. Use icx_recall_scoped for semantic QA instead. Read-only with no side effects.

ParametersJSON Schema
NameRequiredDescriptionDefault
indexYes1-based ordinal member index (e.g. 1 for first revision, 2 for second revision).
familyYesDocument family identifier (e.g. 'contract.indemnity', 'msa.pricing').
space_idNoOptional memory space partition where the family was stored. Defaults to caller default space.

Output Schema

ParametersJSON Schema
NameRequiredDescription
indexYesdescription=Ordinal slot index (1-based)
familyYesdescription=Document family category
sha256Yesdescription=Cryptographic content hash
statusYesdescription=Retrieval status (VERIFIED_VERBATIM_QUOTE | REGISTER_SLOT_EMPTY)
space_idYesdescription=Target memory space partition
source_uriYesdescription=Original document source URI
exact_quoteYesdescription=Verbatim character-exact text stored in register

TDQS

A4.3/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotation readOnlyHint=true already establishes the read-only safety profile. The description adds context about exact character-for-character retrieval and 'no side effects,' but does not disclose edge-case behavior such as out-of-range index handling or access requirements. With annotations present, this is adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences, each earning its place: the core function, the intended use case, and the alternative tool. It is front-loaded with the most important information and contains no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity, full schema coverage, readOnlyHint annotation, and presence of an output schema, the description is complete. It explains what the tool returns, when to use it, and how it differs from the closest sibling, without needing to restate schema details or output structure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents family, index, and space_id. The description adds minimal semantic value beyond the schema, mostly reinforcing that index is an 'ordinal slot index.' This meets the baseline for schema-covered parameters but does not elevate it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Retrieves exact character-for-character verbatim text quotes from stored document registers by document family and ordinal slot index.' This clearly distinguishes it from the semantic sibling tool icx_recall_scoped by emphasizing exactness over paraphrasing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit usage guidance is provided: 'Use this tool when exact contractual wording, legal clauses, or code revisions must be quoted without AI paraphrasing.' It also names the alternative for semantic QA: 'Use icx_recall_scoped for semantic QA instead.' This fully addresses when to use and when not to use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

icx_recall_scopedScoped Memory RecallA
Read-only

Performs associative semantic recall across long-term memory to retrieve grounded facts, citations, and source documents matching a natural language question. Use this tool when answering questions about previously saved documents or facts (e.g. 'What is the pricing tier?', 'Who is the lead architect?'). If you only need raw keyword matching across entity names, use icx_search_facts instead. For character-exact verbatim quotes of stored documents, use icx_quote_slot. Read-only with no side effects.

ParametersJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language question, keyword, or concept to recall from persistent lattice memory.
top_kNoMaximum number of grounded facts to retrieve (default: 10, min: 1, max: 50).
space_idNoOptional memory space partition to restrict recall to. Defaults to caller default space.

Output Schema

ParametersJSON Schema
NameRequiredDescription
countYesdescription=Number of grounded facts returned
factsYesdescription=List of recalled grounded facts and citations
queryYesdescription=Natural language query submitted
statusYesdescription=Recall status (VERIFIED_RECALL | NO_GROUNDED_FACTS_FOUND)
space_idYesdescription=Target memory space partition
total_in_spaceYesdescription=Total nodes in active memory space

TDQS

A4.6/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations include readOnlyHint: true and the description says 'Read-only and has no side effects,' but this is only a reinforced safeness; beyond that, it also adds what the annotation doesn't show: the action is 'semantic recall' over 'long-term storage', returning grounded facts, quotes, and source documents. It does not disclose rate limiting, token limits, or partial failures.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Four crisp sentences. The first sentence packs the core capability; the second contains examples; the third shows the alternative; the fourth says read-only. No wasteful words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The data is a single high-level semantic retriever with a parameter count of 3 and a large number of sibling alternatives. The input schema and annotations are available; the output schema is presumably present (the signal indicates having an output schema). The description says facts/ citations, but there is no mention of 'no answer' style or edge cases. Existing output schema may resolve but is not shown.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has three properties overall with a 100% description coverage. The description words provide semantic context beyond schema: the user question is 'an input text, keyword, or concept'; top_k is 'the number of grounded facts to retrieve (default 10; min 1; max 50); space_id is 'optional partition area for restricting the memory. This does enough, and while the schema already reports defaults/min/max, its descriptions are not fully redundant with the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific action ('performs associative semantic recall across long-term memory'), a precise resource ('to retrieve grounded facts, citations, and source documents'), and an explicit showcase of how it is distinct from its siblings: it calls out icx_find_facts for raw keyword matches and icx_quote_slice for character-exact verbatim quotes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

States clearly when to use it ('when answering questions about already saved documents or facts'), exemplars included; the explicit alternatives are stated: for raw keyword matching across all entity names, use icx_find_facts instead; for exact verbatim quotes, use icx_quote_slice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

icx_rememberMemorize Document or FactA

Stores text, documents, code snippets, or conversational facts into long-term persistent memory for later retrieval across sessions. Ingests content into topological memory nodes with zero context window decay. Use this tool whenever you need to save facts, contracts, documentation, or user details for future reference. Do not use for querying existing memory (use icx_recall_scoped or icx_search_facts instead). Ingestion is additive and non-destructive.

ParametersJSON Schema
NameRequiredDescriptionDefault
textYesThe raw text, markdown document, code file, or factual statement to memorize.
familyNoOptional document family grouping for deterministic verbatim register quoting (e.g. 'contract.indemnity', 'auth.tokens').
filenameNoOptional filename or document title provenance tag (e.g. 'architecture.md', 'master_agreement.pdf') to track document origin.
space_idNoOptional memory space partition (e.g. 'codebase_docs', 'contracts_v2', 'user_preferences'). Defaults to caller default space.

Output Schema

ParametersJSON Schema
NameRequiredDescription
familyNodescription=Document semantic family
statusYesdescription=Crystallization status (VERIFIED_STORED | error)
filenameYesdescription=Stored document identifier
space_idYesdescription=Target memory space partition
active_nodesYesdescription=Total active nodes in memory space
learned_factsYesdescription=Count of new simplicial facts learned
bytes_ingestedYesdescription=Raw bytes stored in verbatim register
persisted_stateYesdescription=Storage layer provenance

TDQS

A4.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With readOnlyHint=false, the annotation already signals a write operation. The description adds valuable behavioral context: states ingestion is additive and non-destructive, mentions 'zero context window decay', and clarifies topological memory nodes. It doesn't detail failure modes or side effects beyond that, but the additive/non-destructive note is strong supplementary transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, each adding distinct value: what it stores, and when to use/avoid with alternatives. No redundancy, front-loaded with the primary purpose. Ideal conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 4 parameters (1 required), 100% schema coverage, no enums, and an output schema exists. The description covers purpose, ingestion behavior, non-destructive semantics, and usage boundaries. Minor gap: it doesn't explicitly state what the tool returns (e.g., confirmation or memory ID), but the output schema presumably covers that, and the complexity is moderate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and each parameter has a meaningful description. The tool description adds context on the purpose of 'family' (deterministic verbatim register quoting) and 'filename' (provenance tag), but these details are already partly in the schema. The description does not add significant new semantic value beyond what the schema provides, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Stores... into long-term persistent memory') and clearly identifies the resources (text, documents, code snippets, conversational facts). It distinguishes from siblings by explicitly noting that this is for ingestion, not querying, and references icx_recall_scoped and icx_search_facts as alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit guidance on when to use ('whenever you need to save facts, contracts, documentation, or user details') and when not to use ('Do not use for querying existing memory'), naming the alternative tools. This is a model example of usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

icx_reset_sessionReset Conversation HistoryA

Resets conversational dialogue history for a session while strictly preserving all underlying crystallized knowledge, learned facts, and document weights in the memory space. Use when starting a new conversation topic while retaining all learned knowledge. Mutates session dialogue state but leaves persistent memory intact.

ParametersJSON Schema
NameRequiredDescriptionDefault
space_idNoOptional memory space partition whose turn history should be reset. Defaults to caller default space.

Output Schema

ParametersJSON Schema
NameRequiredDescription
statusYesdescription=Reset status (SESSION_RESET_SUCCESS)
space_idYesdescription=Target memory space partition
session_clearedYesdescription=Whether dialogue turns were cleared
memory_crystallized_preservedYesdescription=Strictly true - underlying lattice memory is preserved

TDQS

A4.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations only give readOnlyHint: false, indicating a mutation. The description goes beyond this by specifying exactly what is mutated (session dialogue) and what is preserved (crystallized knowledge, facts, weights). It adds valuable context about the side-effect scope, though it does not cover potential edge cases like timeouts or effects on concurrent sessions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two terse sentences plus a usage directive. The core action is front-loaded ('Resets conversational dialogue history'), followed by the preserving qualifier and the usage scenario. No filler or redundancy; every clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (one optional param, no required fields) and the presence of an output schema, the description covers purpose, side effects, and usage context. It does not describe the return value, but the output schema covers that. Minor omission: it doesn't explain what happens if the space_id is invalid or if resets affect multiple sessions, but these are not essential for basic usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema covers the sole parameter space_id with a clear description ('Optional memory space partition whose turn history should be reset. Defaults to caller default space.'). The tool description adds no additional meaning about the parameter beyond what the schema provides. With 100% schema coverage, baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Resets') and the resource ('conversational dialogue history') while adding a critical qualifier: it preserves all crystallized knowledge and memory weights. This distinguishes it from siblings like icx_search_facts or icx_recall_scoped, which interact with long-term memory rather than session state. The final sentence reinforces the specific scope of the mutation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly provides a when-to-use scenario: 'Use when starting a new conversation topic while retaining all learned knowledge.' It also clarifies what is not reset (persistent memory). However, it does not explicitly name alternative tools (e.g., 'for full memory reset, use X') or state when not to use it, so it's slightly below the highest bar.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

icx_search_factsSearch Simplicial Lattice FactsA
Read-only

Searches memory lattice nodes and decoded facts by keyword overlap and proximity across the active memory space. Use this tool for entity exploration or keyword discovery. For natural language question answering with grounded factual citations, use icx_recall_scoped instead. Read-only with no side effects.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of node matches to return (default: 20, min: 1, max: 100).
queryYesSearch terms or entity names to search across memory nodes.
space_idNoOptional memory space partition to search within. Defaults to caller default space.

Output Schema

ParametersJSON Schema
NameRequiredDescription
countYesdescription=Number of matching nodes found
queryYesdescription=Search keyword query
statusYesdescription=Search status
matchesYesdescription=Simplicial complex nodes matching search query
space_idYesdescription=Target memory space partition
total_in_spaceYesdescription=Total nodes in active memory space

TDQS

A4.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already include readOnlyHint: true. The description reinforces this by stating 'Read-only with no side effects,' which adds explicit language beyond the annotation. It does not contradict the annotation and gives a clear behavioral statement about the tool's non-mutating nature.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences, each earning its place: purpose, usage guidance, and read-only note. It is front-loaded with the core action and immediately distinguishes from a sibling, with no redundant or extraneous wording.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema and readOnlyHint annotation, the description covers the essential context: purpose, usage, alternative, and side-effect statement. It omits details like ordering or match thresholds, but these are not critical given the schema richness. Slight room for improvement in describing result semantics, but overall complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all parameters are already described. The description adds minimal extra value, only reiterating that query terms are for entity names and keyword discovery, which is largely already in the schema. The baseline of 3 is appropriate since the schema carries the parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states the tool searches memory lattice nodes and decoded facts via keyword overlap and proximity, covering both resource and method. It also distinguishes itself from a sibling (icx_recall_scoped) by contrasting its use case, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit guidance: 'Use this tool for entity exploration or keyword discovery' and 'For natural language question answering with grounded factual citations, use icx_recall_scoped instead.' This clearly indicates when to use and when not to use, with a named alternative.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 5 tool updatesv1.0.0
    • Changedicx_quote_slot1 field changed
      • changedInput schema / properties / space_id / description
        Previous value: -"Optional memory space partition where the family was stored."New value: +"Optional memory space partition where the family was stored. Defaults to caller default space."
    • Changedicx_recall_scoped4 fields changed
      • changedInput schema / properties / space_id / description
        Previous value: -"Optional memory space partition to restrict recall to."New value: +"Optional memory space partition to restrict recall to. Defaults to caller default space."
      • changedInput schema / properties / top_k / description
        Previous value: -"Maximum number of grounded facts to retrieve (default: 10, max: 50)."New value: +"Maximum number of grounded facts to retrieve (default: 10, min: 1, max: 50)."
      • addedOutput schema / properties / facts
        Added value: +{
        +  "description": "description=List of recalled grounded facts and citations",
        +  "items": {
        +    "additionalProperties": true,
        +    "type": "object"
        +  },
        +  "type": [
        +    "null",
        +    "array"
        +  ]
        +}
      • changedOutput schema / required
        Previous value: -[
        -  "status",
        -  "query",
        -  "space_id",
        -  "count",
        -  "total_in_space"
        -]New value: +[
        +  "status",
        +  "query",
        +  "space_id",
        +  "count",
        +  "facts",
        +  "total_in_space"
        +]
    • Changedicx_remember2 fields changed
      • changedInput schema / properties / filename / description
        Previous value: -"Optional filename or document title provenance tag (e.g. 'architecture.md', 'master_service_agreement.pdf')."New value: +"Optional filename or document title provenance tag (e.g. 'architecture.md', 'master_agreement.pdf') to track document origin."
      • changedInput schema / properties / space_id / description
        Previous value: -"Optional memory space partition (e.g. 'codebase_docs', 'contracts_v2', 'user_preferences'). Defaults to caller's default space."New value: +"Optional memory space partition (e.g. 'codebase_docs', 'contracts_v2', 'user_preferences'). Defaults to caller default space."
    • Changedicx_reset_session1 field changed
      • changedInput schema / properties / space_id / description
        Previous value: -"Optional memory space partition whose turn history should be reset."New value: +"Optional memory space partition whose turn history should be reset. Defaults to caller default space."
    • Changedicx_search_facts3 fields changed
      • changedInput schema / properties / limit / description
        Previous value: -"Maximum number of node matches to return (default: 20)."New value: +"Maximum number of node matches to return (default: 20, min: 1, max: 100)."
      • changedInput schema / properties / query / description
        Previous value: -"Search terms or entity names to search across simplicial lattice nodes."New value: +"Search terms or entity names to search across memory nodes."
      • changedInput schema / properties / space_id / description
        Previous value: -"Optional memory space partition to search within."New value: +"Optional memory space partition to search within. Defaults to caller default space."
  2. 6 tool updatesv0.1.0
    • First observedicx_inspect_space
    • First observedicx_quote_slot
    • First observedicx_recall_scoped
    • First observedicx_remember
    • First observedicx_reset_session
    • First observedicx_search_facts

TDQS

A4.4/5.0

Scored across 6 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: monitoring vs. exact quoting vs. semantic recall vs. storing vs. session reset vs. keyword search. The descriptions explicitly cross-reference each other to prevent misselection.

Naming Consistency5/5

All tool names follow a consistent 'icx_verb_noun' pattern using lowercase with underscores, making the action and object predictable (e.g., icx_recall_scoped, icx_search_facts).

Tool Count5/5

Six tools is well-scoped for a memory management server, covering storage, retrieval (semantic, exact, keyword), monitoring, and session control without bloat or redundancy.

Completeness4/5

The surface covers core memory operations (store, retrieve, monitor, reset) but lacks explicit delete or update functionality for persisted facts, which is a minor gap for a memory domain.

Maintenance

ActivityActive
ResponsivenessNo issues

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